List job

Solutions Architect, Enterprise, Europe-Central Solutions Architect

AWS Global Sales (AGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.Solutions Architects at Amazon Web Services (AWS) build technical relationships with customers of all sizes and operate as their trusted advisor. In this specific role, you will work with AWS customers and industry domain experts to create the architectures for solutions to large Enterprise challenges. You will not only design and build these solutions, but continue to refine and scale them by working closely with AWS Professional Services, AWS Partners, and customers. This role requires hands-on experience in application integration design, solid knowledge of business software application design stemming from domain-driven design, and micro-services and component-based architectures. This knowledge needs to be paired with industry domain expertise in areas such as applied AI and the development and deployment of industry solutions. Candidates for this role need experience with applications, use cases, user experiences, and challenges in large enterprise gained by working in architect or developer roles within the domain. Candidates should have insights on how cloud-based software solutions are built, including but not limited to the handling of sensitive data, process observability, and audit readiness.You will also participate in the creation and sharing of best practices, technical content and new reference architectures (e.g. white papers, code samples, blog posts) and evangelize and educate about AWS technology and industry trends (e.g. through workshops, user groups, meetups, public speaking, online videos or conferences).This role will include up to 30% travel.Key job responsibilitiesIn this role, you will love what you do, and instinctively know how to make work fun. You will be dynamic and creative, and willing to take on any challenge and make a big impact.Enjoy working with large, global customers as an active contributor to a diverse team. You will have a passion for educating, training, designing, and building cloud solutions for a diverse and challenging set of Enterprise customers.Have a strong understanding of large scale computing solutions. The ideal candidate will have past experience working as an architect or software development engineer.You will enjoy keeping your existing technical skills honed and developing new ones, so you can make strong contributions to deep architecture discussions. You will regularly take part in deep-dive education and design exercises to create world-class solutions built on AWS.About the teamDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureAWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Basic qualifications- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience- Experience leading or developing high quality, enterprise scale software products using a structured system development lifecycle- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients- Knowledge of cloud architecture Preferred qualifications- 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience- Experience working with end user or developer communities- Knowledge of software development tools and methodologies- Experience with Generative AI and agentic AI solutions in enterprise contextsAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Geneva

Engineering Operations Technician, Data Center, DCEO

We are looking for a Data Center Engineering Operations Technician to join our expanding team in Switzerland. As an Data Center Engineering Operations Technician, you'll independently troubleshoot and maintain electrical and mechanical systems, and respond to operational issues with minimal supervision. Your work will help maintain one of the world's largest information system infrastructures. If you enjoy hands-on problem solving in a process-driven environment, we'd like to meet you!Switzerland based candidates only (valid work permit required).Key job responsibilitiesOn-site management of contractors, sub-contractors and vendors, ensuring that work performed is in accordance with established practices, procedures & local legislation.Maintain performance benchmarks, & prepare reports on all aspects of the critical facility infrastructure operations & maintenance.Generate Change Management requests & Incident Management tickets as directed.Learn and contribute to documentation relevant to business & facility operations.Assist with rack installation and the provision of power/cooling.Become involved with routine maintenance and emergency services on critical systems such as: switchgear, generators, UPS systems, power distribution equipment, cooling equipment, building monitoring systems, etc.Assist and learn about the design, implementation, commissioning and build out of new facilities.Assist with the management of facility assets.Participate in Construction & Operational Meetings as required.Assist with Work Order compliance and review of contractual SLAs.Interface with Infra Ops teams for day to day operational requirements.Assist in the resolution of any infrastructure engineering or services issue.Delivery of exceptional customer service and satisfaction.Meet daily hours of operations, on-call requirements for response outside of hours and potential future shift rotations.A day in the lifeYour day-to-day activities will include:Monitoring alarms and systems that manage power, cooling, and fire suppression in the data center.Coordinating vendor work on-site to ensure equipment is maintained and uptime is preserved.Supporting other teams and sites during events and planned works.Handling rack installations and powering up equipment.Monitoring and facilitating the handover of new equipment.Sharing knowledge and supporting new team members.Participating in event response drills.About the teamAt AWS, we value diverse experiences. Even if you don’t meet all of the qualifications, we encourage you to apply. We welcome candidates from all career paths, regardless of your professional journey. Basic qualifications- Experience with electrical or mechanical systems, or equivalent- Knowledge of data center infrastructure including mechanical, electrical, controls and life safety systems- Familiarity with reading technical documentation and drawings- Computer literacy with Windows and common business applications- Fluency in English- Valid Swiss work permit required- Electrical or Mechanical Engineering diploma or equivalent- Knowledge of mechanical systems (Mechanical, HVAC systems, Controls), or knowledge of key electrical competencies and theory Preferred qualifications- Experience in mission critical facilities (data center, oil and gas, marine industries, production or medical facilities)- Diploma or Degree in relevant technical field- Swiss electrical switching certification- Fluency in GermanAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Zurich

Cloud Architect, AI & Pan-Amazon, AWS Professional Services, AWS Professional Services, RCG and Pan-Amazon Strategy and Growth

Architect cloud solutions for Europe's most ambitious enterprise customers — spanning migrations, modernization, AI, and intelligent commerce. This Professional Services Cloud Architect role offers the rare opportunity to also collaborate across Amazon business units, connecting AWS with Amazon's expertise in Commerce, Supply Chain, AdTech, and Customer Experience.The Amazon Web Services Professional Services (ProServe) team is seeking an experienced ProServe Cloud Architect (PCA) to join our team. In this role, you'll work closely with customers to understand their technical requirements and business objectives, designing and implementing tailored cloud solutions. You'll be a key player in the pre-sales process, providing technical expertise and guidance throughout the customer's cloud journey.You'll be responsible for creating and leading solution designs that address customer business outcomes (CBOs). Operating as the conduit between ProServe Account Executives and Shared Delivery Teams (SDT), you'll ensure proposed solutions are realistic, achievable, and optimize ProServe and/or our partners to maximize CBOs. As a trusted advisor, you provide guidance on industry trends, emerging technologies, and innovative solutions to address customer challenges. As a technical SME, you share knowledge within the organization through mentoring, training, creation of reusable artifacts, and process improvements.Your experience designing technical solutions within the technology/consulting sector will equip you to architect complex, scalable, and secure solutions tailored to each customer, translating technical concepts into business value. Your success will be linked to impacting the signing of SOWs and the successful implementation of solutions which achieve CBOs while exceeding customer satisfaction (CSAT) expectations.Beyond core PCA responsibilities, you will bring expertise in AI/Agentic AI architectures and Retail/Consumer Goods (RCG) solutions. You will also contribute to a growing Pan-Amazon motion, collaborating with domain experts across Supply Chain, Advertising, Connect, and Customer Experience when pursuits require cross-Amazon expertise. French fluency (written and spoken) is essential for engaging customers. Key job responsibilitiesCreate and lead solution designs addressing customer business outcomes across migrations, modernization, AI/ML, and cloud-native architectures. Operate as the conduit between ProServe Account Executives and Shared Delivery Teams, ensuring proposed solutions are realistic and optimized. Provide technical expertise throughout the pre-sales process and customer cloud journey, architecting complex, scalable, and secure solutions tailored to each customer's needs. Bring particular depth in AI, Agentic AI, and RCG/Commerce verticals. Engage French-speaking customers and stakeholders, delivering technical guidance and presentations in French. Collaborate across Amazon organizations when pursuits span multiple business units including Commerce, Supply Chain, AdTech, and Customer Experience. Drive SOW signings and successful implementations that exceed CSAT expectations. Share knowledge through mentoring, training, and creation of reusable artifacts. Serve as a trusted advisor on emerging technologies including Generative AI, Agentic AI, and intelligent commerce solutions. Support diverse teams in making production-proven solutions discoverable and deployable across ProServe teams globally.A day in the lifeYou might start by leading a migration architecture review for an enterprise customer, then shift to designing an Agentic AI solution for a retail client. Later you could be preparing a technical deep-dive for a C-suite audience, collaborating with delivery consultants on an active engagement, or shaping a cross-Amazon pursuit with domain experts. You operate across technologies and languages, bringing the right AWS and Amazon capabilities to each customer's unique challenges.About the teamThis team is small, high trust, and operates with startup intensity inside Amazon's scale. We support the top RCG customers globally — unique market makers in their space. You will be partnered with domain experts who have built production-proven solutions connecting Amazon business units to enterprise customers. The team has direct engagement at the most senior levels of AWS and Amazon. We value people who move fast, think globally, and earn trust by making everyone around them more effective. Basic qualifications- 8+ years of cloud architecture and solution implementation experience- Experience leading cross-functional initiatives across multiple business units, geographies, or matrixed organizations.- Demonstrated experience in Cloud or AI/ML solution design including Generative AI and Agentic AI architectures, and experience in the Retail, Consumer Goods (RCG), or Commerce industry vertical. Preferred qualifications- Degree in advanced technology, or AWS Professional level certification- Expertise in Agentic Commerce solutions including autonomous AI agents for customer experience and intelligent retail operations; experience with AdTech/MarTech solutions and data-driven commerce.- Experience working across Amazon business units (e.g., AWS, Amazon Ads, Amazon Retail, Supply Chain, Connect).Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Zurich

Principal Delivery Consultant- Technical Lead GenAI/ML & Data Science, Professional Services, AWS Industries

The Amazon Web Services Professional Services (ProServe) team is seeking a Principal Delivery Consultant to serve as a technical leader for large-scale Healthcare and Life Sciences (HCLS) transformation programs. In this role as an individual contributor, you will define and own the technical vision across several concurrent workstreams spanning AI/ML, data platform modernization, and enterprise architecture. This is a pivotal leadership role that will shape how the leading global HCLS companies drive business value from AI and cloud computing. You will bring a "T-shaped" profile: broad proficiency across AI/ML, enterprise architecture modernization, and data architecture and engineering, paired with distinctive expertise in one of these technical areas. You will combine deep technical depth with the ability to counsel senior customer executives (VP+) on major technology choices, blending technical rigor with effective framing of business considerations. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using AWS services. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing and AI transformation initiatives. 22110010044Key job responsibilitiesEnterprise Architecture Ownership & Technical Standards: Define and own the end-to-end technical architecture for large-scale HCLS transformation programs, setting reference architectures, re-usable patterns, and technical standards that ensure coherence across 50+ AWS, partner, and customer builders. Establish operational foundations for agentic AI including multi-model governance, observability, automated guardrails, and secure multi-agent orchestration. Executive Technical Advisory & Decision Shaping: Bridge the gap between customer enterprise architects' expectations and pragmatic delivery, counseling executives on major technology choices (total cost of ownership, time-to-value, build vs. buy) and influencing technical decisions across customer and partner teams without direct authority, earning credibility through depth and clarity.Cross-Team Alignment & Architectural Governance: Drive alignment across teams with sometimes diverse technical opinions, resolve architectural conflicts, adapt architecture mid-flight as program needs evolve, and coach engineers across partner organizations who do not directly report to you, raising the technical bar across the entire delivery organization. Champion responsible AI practices including bias detection, model explainability, and alignment with AWS's AI service guardrails.AI/ML, Data & Knowledge Architecture: Continuously grow expertise across AI/ML, enterprise architecture, and data engineering and industry depth in HCLS, maintaining knowledge at the frontier of AWS service innovations, prescriptive guidance (e.g. Well-Architected Agentic AI Lens, Generative AI Lifecycle framework, and AI-DLC methodology), and translating those innovations into the specific HCLS customer context.AI-Native Delivery Transformation: Drive AI-DLC (AI-Driven Development Life Cycle) methodologies across the delivery organization, redesigning delivery models for accelerated scale and pace, steering multi-agent systems at scale using patterns such as supervisor-worker hierarchies, workflow orchestration, and saga orchestration as defined in AWS prescriptive guidance, and embedding AI-native workflows into program execution to maximize builder productivity, to achieve step-change improvements in builder productivity and time-to-value.About the teamAbout AWS:Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneeredcloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companiestrust our robust suite of products and services to power their businesses.Inclusive Team Culture - Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic qualifications- 8+ years of experience in enterprise technology architecture delivery, with at least 5 years leading technical teams defining and governing technical architecture on complex transformation programs- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience- Depth in one or more of the following technical areas: AI/ML, enterprise architecture modernization, or data architecture and engineering, demonstrated through technical leadership of enterprise-wide transformation programs at leading global enterprises- Strong executive communication skills, with ability to present architecture trade-offs, risk assessments, and recommendations to VP+ audiences with clarity and confidence- Demonstrated ability to adopt and champion emerging delivery methodologies that accelerate team productivity and time-to-value Preferred qualifications- AWS Professional-level certifications (e.g., GenAI Developer Professional, Solutions Architect Professional, Machine Learning Specialty, Data Analytics Specialty)- Experience in the healthcare and life sciences industry, with emphasis on large biopharma, large medtech, and payer customers. Experience designing AI solutions that meet regulatory requirements (HIPAA, GxP, 21 CFR Part 11) and meet standards like OMOP, CDISC, FHIR, and HL7 FHIR R4- Experience re-designing delivery workflows to become AI-native, including steering and validating multi-agent systems at scale to drive delivery productivity and accelerate time-to-value- Demonstrated expertise in designing and operationalizing agentic AI systems using patterns such as multi-agent orchestration, tool-use agents, and workflow orchestration — ideally leveraging AWS services (Amazon Bedrock, AgentCore)- Experience designing data platforms at scale, including data lakes, lakehouses, knowledge graphs, vector databases, RAG (Retrieval-Augmented Generation) architectures, and ontology-driven architectures- Experience influencing and aligning customer enterprise architects and partner technical teams on architecture patterns and technology choices in multi-vendor environmentsAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Zurich

Electronics Engineer, RIVR

RIVR, part of Amazon is a robotics team pioneering Physical AI through real-world deployment and doorstep deliveries. Founded in 2024 as an ETH Zurich spin-off, RIVR developed wheeled-legged robots designed to operate in complex, unstructured environments such as stairs, gates, doors, and uneven urban terrain. We believe that achieving general physical intelligence requires solving real customer problems in the real world, where robots can learn by gathering rich operational data at scale.As a Junior Electronics Engineer, you will spearhead the design, development, and testing of our robots' custom electronics. Your expertise will encompass power electronics (motor control, power distribution), digital electronics (PCBA design, microprocessor) firmware and communication protocols, ensuring that our robots not only meet specific application requirements but are also scalable and cost-effective for mass production. We value candidates with a proven track record of transitioning projects from prototyping and proof-of-concepts to MVPs, full products, and ultimately, mass production. If you are driven to innovate in robotic design, we invite you to join our team and help shape the future of intelligent robotics. Basic qualifications- A minimum of 2 years of industry or research experience.- Experience in PCB design and firmware development.- Proficient in using PCB design software such as Altium, Eagle, and KiCad, along with simulation software like SPICE.- Skilled in utilizing electronics instrumentation for debugging (oscilloscope, power analyzer).- Knowledgeable in control systems and in common electronics components and communication protocols utilized in robotics or related fields.- Strong problem-solving skills, adept at debugging and optimizing hardware components.- Bachelor’s degree or higher in a relevant field such as Electronics Engineering, Embedded Systems Engineering, Robotics Engineering. Preferred qualifications- Master’s degree or higher in a relevant field such as Electronics Engineering, Embedded Systems Engineering, Robotics Engineering.- Familiarity with design for mass production.- Experience in the robotic, automotive, aerospace, medical, and consumer electronics sector.- Experienced with control systems applicable to consumer drones, AMR, and electric bicycles.Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Zurich

Robotics Wireless & Network Engineer Intern, RIVR

Embark on an exciting journey at Amazon as a Specialised Software Development Engineer! Join our cutting-edge teams working on innovative technologies that impact millions of customers worldwide. Shape the future of autonomous systems at Amazon! Work on groundbreaking projects that combine advanced perception, machine learning, and simulation to create the next generation of autonomous technologies.Collaborate with world-class engineers and scientists to build and deploy state-of-the-art systems that push the boundaries of what's possible in robotics and computer vision. Your work will directly impact millions of customers and transform industries on a global scaleKey job responsibilitiesNetwork engineering: Configure and improve the robot's internal network (VLAN, NTP/PTP time sync, DHCP/DNS). Real-time traffic: Make sure ROS2/DDS, WebRTC and MQTT flows behave correctly on the network. Wireless and RF performance: Characterize how the cellular, Wi-Fi and satellite links behave in the real world (coverage, throughput, latency under load, antenna placement and A/B system comparisons). Troubleshooting and documentation: Take the first pass on connectivity issues, work through them with packet captures and logs, and keep network diagrams, configuration baselines and technical docs up to date. About the teamRIVR, part of Amazon is a robotics company pioneering Physical AI through real-world doorstep delivery. Founded in 2024 as an ETH Zurich spin-off, RIVR, part of Amazon developed wheeled-legged robots designed to operate in complex, unstructured environments such as stairs, gates, doors, and uneven urban terrain. We believe that achieving general physical intelligence requires solving real customer problems in the real world, where robots can learn from rich operational data at scale. At RIVR, we build autonomous delivery robots that operate in the field, and the network is what makes remote supervision and data exchange possible, from the switched network inside the robot, through 4G/5G, Wi-Fi and satellite links, to the cloud stack. As a Robotics Wireless & Network Engineer Intern, you'll sit between the hardware and software teams as a hands-on engineer across that entire path, configuring and segmenting networks, characterizing wireless links, building the monitoring that keeps the fleet visible, and getting to the bottom of connectivity issues Basic qualificationsBSc or higher in Telecommunications Engineering, Telematics Engineering, Electrical/Electronics Engineering, or Computer Science. Solid networking fundamentals across all TCP/IP stack. Hands-on experience (either through coursework, previous internships, or other projects) with networking, robotics or drones. Comfortable working on Linux and Git. Scripting in Python/Golang and basic knowledge in C++ Strong problem-solving skills, and eagerness to learn and contribute on complex, real- world systems in a collaborative team. Preferred qualificationsExposure to RF concepts: link budgets, filters, antennas, VSWR, or hands-on time with a VNA or spectrum analyzer. ROS2 or any experience with robots and sensors. Familiarity with AWS and network configuration on embedded Linux. Clear writing and the instinct to hand over what you learned. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Zurich

Engineering Manager - Software/Cloud, RIVR

RIVR, part of Amazon is a robotics team pioneering Physical AI through real-world deployment and doorstep deliveries. Founded in 2024 as an ETH Zurich spin-off, RIVR developed wheeled-legged robots designed to operate in complex, unstructured environments such as stairs, gates, doors, and uneven urban terrain. We believe that achieving general physical intelligence requires solving real customer problems in the real world, where robots can learn by gathering rich operational data at scale.Key job responsibilities● Design and implement a production-grade Linux distribution from scratch using Yocto/OpenEmbedded.● Develop and maintain custom Yocto layers, write and patch bitbake recipes, and configure Linux kernels to support specific hardware peripherals.● Hardware enablement for critical robotics sensors, including GMSL cameras, GPS/GNSS modules, IMUs, and LiDAR.● Implement and manage robust Over-the-Air (OTA) update solutions to ensure safe and atomic fleet-wide deployments.● Work closely with hardware engineers to bring up new boards, modify Device Trees, and debug low-level interfaces (I2C, SPI, CAN, UART).● Profile and optimize the system for boot time, memory footprint, and interrupt latency. Basic qualifications- 4+ years of experience formally leading engineering teams, managing sprints, and coaching developers.- 7+ years of professional experience building and operating large-scale backend systems in a Service-Oriented Architecture (SOA) or microservices context.- Proven experience architecting solutions on AWS.- Proven experience operating a complex SOA architecture at scale. Deep familiarity with failure modes in distributed systems and mechanisms to reduce the blast radius of outages and regressions.- Experience with building and operating ML training infrastructure, integrating it in the SDLC. Experience with handling sensitive data and ensuring its safety and compliance.- Proven ability to delegate and grow, yet remain connected to the technology details.- Strong judgement: you identify and call-out one-way doors, you can independently check Senior Engineers’ assumptions and designs, you anticipate the impact and future cost of shortcuts and weight them against your immediate priorities.- A deep sense of Ownership, a relentless drive to Earn Trust, and a passion for Developing the Best talent.- Exceptional communication skills, with the ability to articulate complex technical ideas clearly to both technical teams and non-technical stakeholders. Preferred qualifications- Exposure to cloud services communicating with physical edge devices such as robots.- Background in robotics, IoT, fleet management, or real-time data streaming systems.- Familiarity with observability tools (OTLP, Grafana, Prometheus) optimized for physical devices experiencing intermittent connectivity.- Experience with Security topics in the context of cloud systems.- Experience navigating organizational growth or integrating startup systems into large enterprise environments.Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Zurich

Engagement Manager, AWS Professional Services - Telco, Media & Entertainment, Gaming, Sports (TMEGS)

The Amazon Web Services Professional Services (ProServe), Telco, Media & Entertainment, Gaming, Sports (TMEGS) Industries Delivery Practice is seeking an Engagement Manager (EM) to deliver outcome-based cloud and AI engagements for our customers. You will own engagements and workstreams end to end. You are accountable not just for the plan, but for delivering the outcomes we committed to, on time, to standard and on budget.Most of our engagements are delivered on a fixed-price, outcome-based model. You will translate agreed outcomes into a clear delivery plan with measurable acceptance criteria, then run that plan with discipline. That means managing scope and change against the statement of work, tracking progress and financials, and raising trade-offs early. You will negotiate day-to-day scope and priorities with customer stakeholders within the commercial framework agreed for the engagement, and you will know when to bring in senior colleagues.You will work with delivery teams that use AI throughout the delivery lifecycle, from requirements and design through code generation, testing and operations. You are hands-on with AI-assisted delivery tools and technically curious enough to understand what they produce, question it, and keep quality high as delivery accelerates. You apply AWS frameworks such as Well-Architected and the Cloud Adoption Framework, and you help put in place the automated quality checks that let standards hold at speed.Many of our engagements combine AWS builders with AWS Partner Network (APN) partners. You will coordinate partner contributors against clear acceptance criteria. On our largest programs you will work alongside a senior EM to hold a mixed team to a single quality bar.You will build trusted relationships with customer stakeholders up to director level, report progress in terms of outcomes delivered, and spot early signs of risk before they become escalations. As you grow, you will take on larger and more complex engagements, develop your commercial and executive skills, and contribute reusable assets and AI-enabled practices to the wider team. You are expected to achieve and maintain relevant AWS certifications, including in AI, and to build domain expertise.The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud and AI initiatives. We provide a collection of offerings that help customers achieve specific outcomes related to enterprise cloud adoption, and focused guidance through our global specialty practices, which cover a variety of solutions, technologies and industries.221100Key job responsibilities- Owning delivery of cloud and AI engagements, or defined workstreams within larger programs, accountable for agreed outcomes, quality, schedule and budget- Translating agreed outcomes into delivery plans, milestones and measurable acceptance criteria, and contributing to scoping before signature alongside senior EMs and solution architects- Managing fixed-price engagements against the statement of work through disciplined scope and change control, and negotiating day-to-day priorities and trade-offs with customer stakeholders- Managing engagement financials: forecasting revenue against milestones, keeping estimate at completion accurate, and driving timely milestone acceptance and billing- Working hands-on with AI-assisted delivery tools across the lifecycle, and applying technical understanding to question AI-generated output and keep quality, security and cost on track- Coordinating AWS and partner contributors against clear acceptance criteria, and supporting senior EMs on multi-partner programs- Reporting progress to customer and AWS stakeholders in terms of outcomes delivered, and raising risks early with clear options and recommendations- Contributing reusable assets, templates and AI-enabled practices that make delivery more repeatableAbout the teamDiverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team Culture - Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic qualifications- 3+ years of leading and delivering enterprise-level IT or cloud engagements- 3+ years of cloud computing experience, with working knowledge of the value proposition of the public cloud and cloud delivery models (IaaS, PaaS, SaaS)- Experience managing scope, schedule and budget on fixed-price or milestone-based engagements, including change control- Experience leading or coordinating Agile delivery teams (for example, with Scrum Masters or Product Owners)- Experience working with, presenting to and negotiating with customer stakeholders up to director level, across IT, lines of business and procurement- 5+ years of leading multiple Agile teams (like Scrum Masters, Product Owners) concurrently or at scale experience Preferred qualifications- 3+ years of delivering customer engagements in a professional services or consulting role- AWS certification, ideally including an AI or machine learning certification- Hands-on experience using AI-assisted development or delivery tools on real engagements- Experience coordinating partners, system integrators or mixed vendor teams against shared acceptance criteria- Experience with engagement financials such as revenue forecasting, estimate at completion, earned value or milestone billing- Experience with Agile and project management toolsets such as Jira, Rally, VersionOne or TaigaAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Zurich

Senior Delivery Consultant – (AI/ML Specialist), Telecommunications, AWS Professional Services

The Amazon Web Services Professional Services (AWS ProServe) Telco organization is looking for a senior, experienced, and highly motivated business-oriented AI/ML practitioner who possesses a unique balance of executive advisory capability, business acumen, and deep technical expertise across Generative AI, Agentic AI, and Machine Learning, with proven experience leading large-scale cloud-based transformations and implementations.AWS ProServe engages in a wide variety of strategic projects for customers and partners, bringing together AWS customer experience, best practices, and technical expertise to help organizations accelerate innovation and business outcomes. Our team collaborates across the broader AWS organization to provide customers access to product, engineering, service, and training teams, delivering scalable solutions and driving feature innovation across industries.This role will focus on advising enterprise customers on how to transform business and operational outcomes through the adoption of Generative AI, Agentic AI, and Machine Learning on AWS. As a Consultant, you will act as a trusted advisor to senior business and technology leaders, shape AI and cloud transformation strategies, lead complex engagements, guide architecture best practices, and oversee the successful delivery of large-scale AI/ML and GenAI implementations with customers and partners. You will also help drive thought leadership, mentor delivery teams, and influence the evolution of AWS AI/ML professional services capabilities across the region.221100Key job responsibilities- Advise customer technologists and business leaders on the art of the possible with Generative AI, Agentic AI, and Machine Learning, helping them design scalable AI solutions on AWS that deliver measurable business value- Discuss complex industry-specific business and technology concepts with senior customer stakeholders, particularly across Telecommunications industry- Lead executive and technical workshops with customers to identify transformation opportunities and define how Generative AI, Agentic AI, and Machine Learning can accelerate business outcomes- Drive large and complex customer engagements across pre-sales and delivery, from ideation and strategy through architecture design, scoping, execution, and successful delivery outcomes- Provide technical leadership and delivery oversight across customer engagements to ensure alignment on scope, architecture, deliverables, timelines, risks, and expected business outcomes- Act as a trusted advisor to senior customer stakeholders, guiding AI and cloud transformation initiatives while balancing business priorities, governance, scalability, and operational readiness- Mentor consultants and delivery teams by promoting AWS best practices, reusable patterns, and high standards of technical and delivery excellence across engagements221100A day in the lifeYou'll partner with customers' architecture and engineering teams to solve industry-complex challenges — for example, bringing live/uncompressed video workflows to the cloud, or modernising a media supply chain. A typical day blends hands-on architecture and prototyping, whiteboarding with customer stakeholders, collaborating with AWS service and partner teams, and writing narratives that align business outcomes with technical delivery. You will move fluidly between tactical delivery and strategic influence, often leading across multiple workstreams and diverse groups, and managing escalations with ease. Internal stakeholders include AWS account teams, service teams, and partners; your customers are leading telecommunication organisations transforming their operations on AWS.About the teamAbout AWSAWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic qualifications- 5+ years of machine learning, statistical modeling, data mining, and analytics techniques experience- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 3+ years of customer-facing work, engaging with customer executives, technologists or partners to solve business problems with advanced technologies experience- 4+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience- 3+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python) Preferred qualifications- Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies- Knowledge of AWS services including SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch and AWS certifications- 2+ years of experience with design, deployment, and evaluation of AI agents and orchestration approaches; experience with open source frameworks like LangChain, LangGraph, LlamaIndex, and/ or similar tools- 5+ years of deep learning, computer vision, human robotic interaction, algorithms implementation experience using PyTorch or TensorFlow- Experience building ML pipelines with MLOps best practices, including: data preprocessing, distributed & GPU training, model deployment, monitoring, and retraining; experience with container and CI/CD pipelines- Domain expertise in Telecommunications industryAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Zurich

Senior Database Specialist Solutions Architect, Germany, AGS Specialist Team EMEA Central

Are you a database specialist with deep experience in relational and/or non-relational database? Do you have a unique combination of deep technical knowledge, business acumen, and strong interpersonal skills? Amazon Web Services (AWS) is seeking a solutions architect to work with our customers and other AWS teams to help customers refactor existing workloads and design new cloud-based data solutions.At AWS, customer obsession is in our DNA. The successful candidate will become a trusted advisor to our customers and will partner with AWS specialist sales, business development, and product teams to execute a go-to-market strategy, ensure success of our most complex customer engagements, collect, organize, and disseminate the expertise needed to drive database, analytics, and machine learning workloads.At AWS, we’re hiring highly technical database architects with hands-on capabilities in a combination of commercial, open-source, relational, and non-relational databases to collaborate with our customers and partners in migrating their Database platforms and applications to the cloud.You will join a highly skilled, dynamic, pre-sales team in bringing the latest in disruptive, cutting-edge cloud computing technologies to bear on difficult cost and agility challenges facing many organizations.The ideal candidate will …Be great fun to work with. Our company credo is “Work hard. Have fun. Make history”. As the right candidate, you will love what you do, and instinctively know how to make work fun. You will be dynamic and creative, and willing to take on any challenge.Enjoy working with customers. You have a passion for engaging with customers in a pre-sales capacity, designing and building cloud-based database architectures, pro-actively identifying and removing roadblocks to success for some of the world’s largest and most important organizations.About the teamDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureAWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.Key job responsibilitiesRoles & Responsibilities:Collaborate with AWS field sales to support customers with their database workload challenges.Represent the voice of the customer to internal teams to drive the best outcomes for customers.Thought Leadership – Produce and validate content like reference architectures, best practice blogs, and other artifactsCapture best-practices from engineering and field teams, share patterns and solutionsCollaborate with AWS field teams to build a strong worldwide database and analytics community.About the teamAWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and consistent support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureAWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Basic qualifications- Experience in Oracle DB, or experience in SQL Server/MySQL and experience in any Bigdata architecture- Experience in Database Administration and strong troubleshooting skills (tuning and optimization, deadlocks, schema design) with any Relational Database Engines (MySQL, PostgreSQL, Oracle, SQLServer)- Working knowledge of modern software development practices such as agile methodologies and DevOps. Preferred qualifications- Cloud Technology Certification (such as Solutions Architecture, Cloud Security Professional or Cloud DevOps Engineering)- Knowledge of non-relational databases such as mongodb, couchdb, redisAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.m/w/dOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Zurich

Senior Software Engineer – Backend, RIVR

Zurich

AI Engineer - VLA Foundation Model, RIVR

RIVR, an Amazon company, is building Physical AI by deploying autonomous robots for real-world doorstep delivery. Operating daily in diverse urban environments, RIVR's robots continuously learn from and navigate the millions of scenarios encountered during deliveries. By owning the full stack from software. Our fleet of delivery robots operates globally today, generating vast amounts of robotic real-world data. By utilizing state-of-the-art Vision-Language-Action (VLA) models, large-scale generalist models (like Transformers), generative AI, and similar methods, we can leverage this pool of data to significantly enhance its autonomy, navigation, and manipulation skills. In this role, you will develop multi-modal models that enable robots to autonomously generate actions from demonstrations, real-time sensor data, and natural language commands. We are seeking an expert in VLA models, imitation learning, and generative AI techniques with a deep knowledge of supervised, and self-supervised learning algorithms. If you are passionate about pushing the boundaries of AI we invite you to join us in shaping the future of intelligent robotics.Key job responsibilitiesDevelop and implement Vision-Language-Action (VLA) models, generalist robot transformers, and imitation learning algorithms (e.g., diffusion policies) to enable robots to autonomously execute complex tasks.Design, test, and refine your algorithms to meet the demands of complex real-world autonomy and navigation tasks, with a focus on spatial reasoning and generalization.Streamline the data collection and training workflow to efficiently expand model capabilities with new tasks and data sources.Collaborate with the reinforcement learning team to innovate methods that leverage both simulated and real-world data.Optimize and distill networks for real-time deployment on the edge (e.g. Nvidia Jetson Thor).Build, lead and mentor an exceptional team of software engineers.Provide expert guidance to product managers and executives for strategic decision-making.Create and maintain documentation, guidelines, and best practices to streamline knowledge sharing. Basic qualifications- Master’s degree or higher in a relevant field such as Engineering, Robotics, or Machine Learning.- At least three years of industry or research experience, with PhD experience applicable.- Strong deep learning fundamentals including supervised learning, self-supervised learning, Transformer-based architectures, policy optimization algorithms, imitation learning, and generative AI techniques (including Diffusion Models).- Proven experience in developing Vision-Language-Action models or large-scale generalist robot models (e.g., RT-2, Octo).- Strong background in robotics including autonomy, navigation.- Experience with deploying artificial neural networks on hardware platforms.- Ability to prototype algorithms and train deep neural networks in Python (Pytorch) Preferred qualifications- PhD degree in Robotics, Engineering, Computer Science, Machine Learning or a similar discipline, or an equivalent amount of research experience.- Publications at top-tier conferences.- Experience in managing a software team.- Ability to write production-level code in modern C++Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Zurich

(Senior) AI Engineer - Reinforcement Learning Manipulation, RIVR

RIVR, an Amazon company, is building Physical AI by deploying autonomous robots for real-world doorstep delivery. Operating daily in diverse urban environments, RIVR's robots continuously learn from and navigate the millions of scenarios encountered during deliveries. By owning the full stack from software to hardware, RIVR is purpose-built for safety, reliability, and the customer from day one. Reinforcement learning is transforming our robotic intelligence, enabling autonomous behavior without human guidance. We are seeking a Senior AI Engineer with deep expertise in reinforcement learning and deep learning, including supervised and self-supervised learning with a focus on dexterous manipulation. Your role will involve leveraging both simulated and real-world data to address practical challenges in dynamic grasping, contact-rich manipulation, and object interaction. If you are passionate about advancing AI and developing innovative solutions, join us in shaping the future of intelligent robotics.Key job responsibilitiesDevelop cutting-edge reinforcement learning algorithms to enable robust, contact-rich dexterous manipulation, translating vision, depth, tactile, and proprioceptive sensor input into precise end-effector and joint-level motor commands.Design, test, and refine algorithms to solve complex real-world manipulation challenges, such as handling diverse package form factors, dynamic hand-offs, and operating door handles or latches.Collaborate with the foundation model team to innovate methods that leverage both simulated and real-world data. Basic qualifications- Master’s degree or higher in a relevant field such as Engineering, Robotics, or Machine Learning.- A minimum of five years of industry or research experience, with PhD experience applicable.- Strong deep learning fundamentals, including supervised and self-supervised learning techniques, and reinforcement learning, including Markov Decision Processes (MDPs), neural network architectures, policy optimization algorithms, model-based vs. model-free RL, exploration-exploitation strategies, value function methods, transfer learning, domain adaptation, sim-to-real transfer, etc.- Strong background in robotics including autonomy and/or manipulation.- Experience with deploying artificial neural networks on hardware platforms.- Ability to write production-level code in modern C++.- Ability to prototype algorithms and train deep neural networks in Python.- Strong background in robotic manipulation, including dynamics, grasp synthesis, and trajectory optimization. Preferred qualifications- PhD degree in Robotics, Engineering, Computer Science, Machine Learning or a similar discipline, or an equivalent amount of research experience.- Publications at top-tier conferences (e.g., ICRA, IROS, CoRL, RSS) specifically focusing on robotic manipulation, grasping, or contact-rich RL.- Demonstrated experience working with tactile sensing, multi-fingered robotic hands, or bimanual manipulation.Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Zurich

SLAM Software Engineer, RIVR

RIVR, an Amazon company, is building Physical AI by deploying autonomous robots for real-world doorstep delivery. Operating daily in diverse urban environments, RIVR's robots continuously learn from and navigate the millions of scenarios encountered during deliveries. By owning the full stack from software to hardware, RIVR is purpose-built for safety, reliability, and the customer from day one. Our robots require precise and real-time localization, which they achieve by utilizing onboard sensors such as IMUs, lidar, cameras and GNSS. In environments without existing maps, the robot must dynamically create a map while simultaneously localizing itself within it. As our next SLAM Engineer on a growing team, you will be an expert in laser- and camera-based localization techniques and SLAM and enhance these capabilities. You will shape our robots’ ability to navigate with pinpoint precision, and you will be part of a team focused on enabling our robots to navigate autonomously. If you are passionate about robotics and driven to innovate in SLAM and localization, we encourage you to join us in shaping the future of intelligent robotics.Key job responsibilitiesDevelop state-of-the-art, online and offline localization and SLAM algorithms by fusing information from cameras, LiDARs, IMU, GNSS, and other sensors.Design, validate, and improve algorithms on challenging real-world data.Contribute to the dynamic mapping of the environment using data continuously gathered from ongoing robot deployments.Assist in the creation of robust sensor calibration systems that perform reliably in complex and unpredictable environments.Support the development of an efficient workflow to accurately capture ground truth data, and maps of deployment sites for algorithm evaluation.Contribute to the implementation of deployment-ready code for the real robot, optimized for the robot’s computational constraints.Create and maintain documentation and best practices to streamline knowledge sharing. Basic qualifications- A minimum of 3 years of industry or research experience.- Background in computer vision, robotics or autonomous driving, with experience in areas such as 3D visual or LiDAR SLAM, place recognition, structure from motion, filtering, or Bayesian estimation.- Strong mathematical fundamentals including linear algebra, vector calculus, probability theory, and mathematical optimization.- Ability to write production-level code in modern C++, and prototype efficiently in Python.- Experience with deploying SLAM or localization algorithms on hardware platforms.- Master’s degree in a relevant field such as Robotics, Machine Learning, Computer Science, or a similar discipline. Preferred qualifications- Experience with state of the art deep learning algorithms for SLAM and localization.- Publications at top-tier conferences.- Experience with ROS/ROS2.Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.null

Zurich

Sr Software Engineer – DevOps, RIVR

Zurich

Electronics Engineer – Carrier Board, RIVR

RIVR, an Amazon company, is building Physical AI by deploying autonomous robots for real-world doorstep delivery. Operating daily in diverse urban environments, RIVR's robots continuously learn from and navigate the millions of scenarios encountered during deliveries. By owning the full stack from software to hardware, RIVR is purpose-built for safety, reliability, and the customer from day one. As a Electronics Engineer – Carrier Board, you will own the design of GPU/SoC carrier boards for our robotic compute platform — from schematic capture through PCB layout, bring-up, and production release. You will integrate high-speed digital interfaces and sensor front-ends into compact, reliable board designs for mobile Physical AI applications. Beyond technical depth, you will manage supplier and partner relationships, define development priorities, and drive sourcing decisions. You are the technical owner of the carrier board, not just a layout executor.Key job responsibilitiesDesign and own carrier boards for GPU/SoC compute modules end-to-end: requirements → schematic → layout → bring-up → production release.Integrate high-speed digital interfaces such as multi-gigabit Ethernet, DDR4, PCIe, MIPI CSI-2, GMSL SerDes, and USB 3.x.Design electrical front-ends for sensors and modules including cameras, LIDARs, RADARs, and wireless connectivity (WiFi/5G).Manage supplier and partner relationships: SoC vendors, connector suppliers, contract manufacturers, and module providers.Evaluate and select components and suppliers based on cost, availability, quality, and roadmap fit.Define and own development milestones and timelines; coordinate across internal teams and external partners.Make trade-off decisions (features vs. schedule vs. cost) and communicate them clearly to stakeholders.Perform board bring-up, debug, and validation of high-speed interfaces.Provide signal integrity guidance for PCB layout (impedance control, length-matching, stackup definition).Collaborate closely with firmware, mechanical, and systems engineering teams. Basic qualifications- 5+ years designing carrier boards or motherboards for GPU/SoC compute modules.- Proven track record integrating high-speed digital interfaces (e.g., DDR4, PCIe, multi-gig Ethernet, GMSL) at board level.- Experience owning a board design end-to-end from requirements through production release.- Ideally worked in mobile, edge-compute, or automotive-adjacent applications (robotics, autonomous vehicles, drones, mobile AI platforms).- Hands-on schematic capture and PCB layout skills (Altium, OrCAD, or equivalent).- Strong understanding of signal integrity fundamentals.- Demonstrated ability to manage supplier and partner relationships and drive sourcing decisions.- Comfortable defining priorities, timelines, and trade-offs for a board development project.- Strong problem-solving skills and ability to debug high-speed interfaces during bring-up.- Master’s degree or higher in Electrical Engineering, Electronics, or a closely related field. Preferred qualifications- Experience with NVIDIA Jetson, Orin, or Drive platform carrier board design.- Signal integrity simulation experience (eye-diagram analysis, S-parameter extraction).- Familiarity with automotive-grade design requirements (temperature range, vibration, component qualification).- Experience with power delivery design for high-current GPU modules.- Knowledge of thermal management integration at PCB level.- EMC/EMI pre-compliance testing experience.Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Zurich

Tech Lead Testing, RIVR

RIVR, an Amazon company, is building Physical AI by deploying autonomous robots for real-world doorstep delivery. Operating daily in diverse urban environments, RIVR's robots continuously learn from and navigate the millions of scenarios encountered during deliveries. By owning the full stack from software to hardware, RIVR is purpose-built for safety, reliability, and the customer from day one. This is a hands-on leadership role. You will still design test benches, write automation code, and dig into data, but you will also mentor engineers, drive process maturity, and represent testing in cross-functional planning. If you combine deep technical expertise in hardware testing with the ability to set priorities, grow people, and influence design outcomes, this role offers a unique opportunity to shape how a Physical AI company validates its products. Key job responsibilitiesTechnical Leadership & Strategy Define and own the end-to-end test strategy for structural, mechatronic, and sensing subsystems, aligned with product development milestones. Establish testing standards, processes, and best practices across the team, including test plan templates, data management workflows, and reporting formats. Make architectural decisions on test infrastructure: investments into instrumentation platforms, automation frameworks, and data pipelines. Drive continuous improvement of test coverage, efficiency, and predictive capability. Hands-On Testing & Engineering Design, commission, and operate test benches for mechatronics systems (actuators, mechanism, cabling and sensor), including fixture design, instrumentation layout, and safety concepts. Select, integrate, and calibrate sensors, load cells, thermocouples with a thorough understanding of their working principles and error influences. Develop and maintain automation scripts (Python, Labview) to control test hardware, execute stress and performance tests, and log critical data. Process and analyze test data applying signal processing and statistics fundamental to extract meaningful performance metrics. Reporting & Design Influence Compile clear, structured test reports that compare results against specifications, highlight anomalies, and derive actionable engineering learnings to feed back into the design cycle. Identify failure modes, performance bottlenecks, and reliability risks, translating findings into concrete design recommendations. Represent the test function in design reviews, providing data-driven input on FMEA, and qualification criteria. Team & Collaboration Mentor and grow test engineers, fostering technical depth and a culture of rigorous, curiosity-driven experimentation. Collaborate closely with mechanical, electrical, firmware, and systems engineers to align test strategies with product requirements. Coordinate with external test labs and suppliers when specialized testing is required. Basic qualifications- 7+ years of experience in hardware testing or validation, with at least 3 years in a technical leadership or senior individual contributor role.- Proven experience designing and commissioning test benches for electro-mechanical system or consumer electronics with significant power and motion elements.- Strong scripting proficiency in Python for test automation, device control, and data analysis.- Practical knowledge of sensors and instrumentation — torque cells, encoders, load cells, thermocouples, strain gauges, including their working principles, error influences, and calibration requirements.- Demonstrated ability to turn test data into clear engineering insights that influence design decisions.- Experience developing and reviewing test plans, test cases, and qualification criteria.- The ability to work hands-on in a workshop environment and use common tools safely.- Master's degree in Mechanical Engineering, Electrical Engineering, Mechatronics, Robotics, or a related technical field. Preferred qualifications- Experience with motor or actuator characterization (efficiency mapping, cogging-torque analysis, thermal correlation).- Familiarity with test automation frameworks (LabVIEW, pytest) or hardware-in-the-loop setups.- Understanding of measurement uncertainty analysis (GUM) and calibration procedures.- Hands-on experience with ROS/ROS2.- Experience with CAD software (SolidWorks, Fusion 360, or similar) for designing test fixtures.- Knowledge of data acquisition (DAQ) hardware and system integration.Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Zurich