Switzerland's best tech talentjobs
Ready when you are.

Forward Deployed Engineer - Switzerland

About the RoleThe mission of Neural Concept’s Forward Deployed Engineering team is to help our customers solve their most complex engineering challenges. We collaborate closely with engineering and design teams within the automotive, aerospace and energy industries, understand their challenges and pains, and help them identify solutions to accelerate their conception processes. We leverage our platform to unlock the value of the most complex computer-aided engineering datasets and to create a direct impact on product design processes. Using 3D deep learning and engineering intelligence, we empower our customers to develop better products faster.As a key player in the Forward Deployed Engineering Team, your mission will be to help industry leaders to redefine their product design workflow with cutting-edge technologies. Your expertise should establish trust and admiration from our customers by delivering high-quality technical work. This is a chance to be at the intersection of engineering and AI, working with top-tier customers worldwide while shaping how the industry evolves. If you are interested in feeling firsthand the fast progress of engineering, this is the team for you.What you will do You will run projects together with our customer’s engineering teams, analyze and process engineering data using our platform and python libraries, and develop tailored solutions and workflowsYou will apply our machine- and deep-learning workflows to different engineering/physics problems, as well as deliver proofs-of-concept demonstrating how our technology creates value in CAD, CAE, and manufacturing. You will train customer teams to effectively use our methods and platform, ensuring smooth AI adoption into their workflows.You will work closely with our developers to translate customer needs and feedback into product improvements.Who you are You are eager to tackle real-world challenges through machine learning and automation, with a passion for reshaping how engineering is practiced by industry leadersYou hold a Master’s or PhD degree in Engineering, Applied Mathematics, or Physics You have an excellent understanding of both Engineering and Machine Learning (strict requirement)You have strong experience with Python programming, and experience with machine learning and deep learning frameworks and libraries (strict requirement)You have experience with simulation. Industry experience in CAD / CAE (CFD, FEM, etc) modelling is a plus You can convey technical concepts to both technical and non-technical stakeholders in a clear and compelling way You have excellent communication skills, enjoy working with people, and feel comfortable in the customer-facing roleYou are fluent in English (mandatory) and French (nice-to-have)What You GetWork with a world-class technology team – our engineers are top-notch, and we always aim for excellence.Benefit from a competitive salary and rewarding opportunities as we continue to scale.Thrive in a collaborative, multicultural environment where your work is visible and recognized.Develop professionally alongside talented colleagues who share knowledge freely and support one another.Make a global impact by helping customers shift to AI-assisted design, making innovation faster, smarter, and more sustainable.Balance life and work with a hybrid model and flexible hours—we care about results, not rigid schedules.We're proud to be an equal opportunity employer, and we're committed to building a diverse and inclusive environment where you can thrive.

Senior CAE and AI Expert

About the RoleNeural Concept accelerates the full engineering simulation cycle. Our AI platform compresses the time from design change to validated result, so engineering teams can explore more, iterate faster, and ship better products. The Vertical Solutions team turns that capability into production-grade, domain-specific solutions for our customers.As a Senior CAE and AI Expert, you will own the simulation workflows, benchmarks, and solution assets that sit at the heart of what we deliver. Your work will land directly inside the engineering processes of leading automotive OEMs and consumer electronics companies — accelerating the entire cycle from geometry change through to crash, safety, and drop test results.What You Will DoOwn vertical solution assets end-to-end. Design and develop simulation workflows, validation benchmarks, and solution templates for automotive structural analysis (crash, occupant safety, pedestrian safety) and consumer electronics durability (drop test, vibration). Take assets from concept through to handover to Sales and Customer Success.Accelerate the full simulation pipeline. Map the complete cycle — design change, automated meshing, solver configuration, job execution, and design optimisation — onto Neural Concept's platform. Define accuracy and speed requirements, validate against benchmark data, and deliver repeatable, production-grade workflows using tools such as ABAQUS, LS-Dyna, Radioss, Hypermesh, ANSA, and Simlab.Write Python automation and tooling. Script data preprocessing, solution packaging, and workflow integration. Maintain solution reproducibility standards and contribute to internal tooling libraries.Drive the product roadmap from the field. Partner with Product and Engineering to surface simulation-specific platform requirements, validate new capabilities, and feed real-world use cases directly into development priorities.Who You Are5–8 years of hands-on FEA simulation experience, in the application of vehicle crash, drop test, pedestrian and/or passenger safety, delivering production-quality models in automotive or consumer electronics environmentsDeep expertise in leading Mechanical pre-solve-post tools, such as: ABAQUS, LS-Dyna, Radioss, Hypermesh, Simlab, ANSA, Meta, d3plotStrong command of structural non-linear simulation: implicit/explicit solvers, contact formulations, material models, failure criteriaDemonstrated experience in automotive safety simulations (crash, occupant safety, pedestrian safety) or product durability testing (drop test, shock, vibration)Experience with end-to-end simulation workflows: CAD preparation → Meshing → Solving → Post-processing → VisualizationScripting and programming: Python (preferred); C++, Java, or C# also valued. Exposure to open-source tools (e.g., OpenFOAM, FEniCSx) and pre/post tools (e.g., Gmsh, ParaView) a plus.Able to own deliverables independently and communicate complex technical concepts clearly to non-specialist audiencesProficiency in both written and spoken English, with the ability to articulate technical complexity with clarity.Nice to HaveFamiliarity with AI-assisted simulation acceleration, design optimisation, or parametric study automationComfort with Git and modern dev environments/IDEs; basic CI for validation of templates and scriptsMaster HPC and Cloud resources. Execute and refine complex simulations within high-performance computing environments, effectively deploying GPU acceleration to maximize workflow performance.What You GetCompetitive salary and benefitsTraining budget — we believe continuous education is essential for you and for us.Work directly with a world-class engineering team that sets high standards and means it.Visible, high-impact work inside a collaborative, multicultural environment where your contributions are recognised.Real influence on how the world’s best engineering organisations use AI to design better products — faster and more sustainably.Ample GPU/CPU resources via HPC and Cloud for your simulation and AI workloads.Hybrid working model — 3 days in the Lausanne office, flexible hours, and we care about output not schedules.We're proud to be an equal opportunity employer, and we're committed to building a diverse and inclusive environment where you can thrive.

Frontend Engineer

About us:Founded by former Google search engineers with PhDs in AI from ETH Zurich, DeepJudge helps legal teams unlock and apply the knowledge inside their organizations through world-class enterprise search and AI infrastructure – enabling them to automate workflows, build knowledge-powered applications, and turn institutional knowledge into a lasting advantage.Every organization can license the same AI models, but no two organizations share the same institutional knowledge. Decades of experience, work product, and precedent are often fragmented across systems, underused, and inaccessible. DeepJudge makes this expertise instantly available and actionable – helping legal teams find the right information faster, surface relevant knowledge, and apply it where it matters most.Our platform is trusted by many of the world’s leading law firms and legal teams, including Holland & Knight, Gunderson Dettmer, Cozen O’Connor, ArentFox Schiff, CMS Switzerland, Schoenherr, and others.Headquartered in Switzerland with a growing team across North America and Europe, DeepJudge is shaping the future of how professional knowledge is discovered and applied.At DeepJudge, we move with urgency, think rigorously, and work closely with our clients to build products that solve meaningful problems. If you want to help define how AI transforms professional knowledge work, we’d love to hear from you.About the role:We're looking for a Frontend Engineer who combines strong technical expertise with a deep appreciation for well-crafted UIs and seamless user experiences. You'll be instrumental in building the features that make our powerful product feel intuitive and delightful to use.Our users, legal professionals, operate under pressure and deal with high-stakes knowledge. Your mission is to build experiences that reduce cognitive load, guide users to the information they need, and help them fully leverage our product's capabilities.You'll collaborate closely with our product team to translate vision into reality. This role goes beyond implementation. We value engineers who contribute strategic thinking about how features should work, not just how they should be built. Attention to detail matters here, from structure and architecture to animations and micro-interactions.You'll have significant ownership over frontend architecture decisions and a real opportunity to shape how we build our product as we scale. This is a hands-on role where you'll write and ship production code daily, but also one where your voice matters in product discussions, architectural decisions, and the evolution of our design system.We're looking for someone who brings both humility and strong opinions, someone who can advocate for their ideas while remaining open to feedback and different perspectives.Your responsibilities will include:Design, develop, and maintain scalable, performant frontend code in a production environment, ensuring high code quality, reusability, and long-term maintainabilityContribute to the frontend architecture and ensure that it scalesReview code and contribute to a high standard of code quality and maintainabilityParticipate in agile development processesCollaborate with product, design, and other engineers to create, design, and translate product vision into implementationStay up to date with the latest industry trends and technologiesEnsure UI decisions prioritize usability, accessibility, and reduced cognitive load for end usersContribute to the evolution of the design systemWrite tests and monitor frontend performance to ensure a reliable, fast experienceProactively identify areas for improvement and contribute ideas beyond your immediate scopeYou're a great fit if you:Have 4+ years of experience building and maintaining production applications with real end users using modern frontend frameworks (we're using React)Love creating consistent and enjoyable user experiences that guide users through legal research, document analysis, and workflow automation, delighting them at every interactionHave solid TypeScript experience, are comfortable with generics, type inference, and building type-safe componentsHave a sharp eye for pixel-perfect UIs and smooth micro-interactions that convey meaning and bring designs to lifeDemonstrate strong communication skills, can clearly articulate technical and visual decisions, and enjoy in-depth discussions with other team membersEnjoy collaborating closely with the product team, understanding their vision, and elevating it by crafting user experiences that are both beautiful and functionalBonus points for:Experience with NextJS in production, including server-side rendering strategies, caching, and route architectureFamiliarity with Figma and design handoff workflowsAccessibility experience that ensures our product works for all user groupsExperience leading frontend initiatives or mentoring other developersWhat you can look forward to:Location: Office 5min walking distance from Zurich central station, where we primarily work on siteCollaborative and supportive work environmentPotential for professional growth and advancement within the companyOwnership and ability to impact the company, product, and cultureThis would not be the right role for you if you:View frontend as just "making things look pretty" rather than optimizing user experience and product valueWant strict requirements and prefer to work solely on what you are toldPrefer working in isolation rather than collaborating closely with design and productYou haven't yet owned significant frontend decisions, or you haven't developed strong opinions about frontend architecturePrefer to work remote-first and don't value in-person collaborationAt DeepJudge, we believe great teams are built on diverse perspectives and experiences. We are proud to be an equal opportunity employer and are committed to fostering an inclusive, high-performance culture where everyone can thrive. We welcome applicants of all backgrounds and do not discriminate based on race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, disability, veteran status, or any other characteristic protected by law. If this role excites you, but you feel you don’t meet every qualification, we encourage you to apply anyway and tell us why you’d be a great fit.

Forward Deployed Engineer

About Us:DeepJudge is Switzerland’s leading AI and ICT scale-up, transforming how law firms and legal departments access and leverage their knowledge. Founded by former Google search engineers with PhDs in AI from ETH Zurich, and backed by top-tier Silicon Valley investors, we are building the intelligence layer that powers the legal industry.Every firm can license the same AI models, but no two firms share the same institutional knowledge. Decades of experience, work product, and precedent are often trapped across systems, underused and inaccessible. DeepJudge makes this expertise instantly available through world-class enterprise search and AI infrastructure, enabling firms to automate workflows, build knowledge-powered applications, and turn experience into a lasting advantage.Our technology is trusted by many of the world’s leading law firms, including Freshfields, Gunderson Dettmer, Holland & Knight, Arent Fox, and Cozen O’Connor. Headquartered in Switzerland with a growing team across North America, we are expanding rapidly and shaping the future of how professional knowledge is discovered and applied.At DeepJudge, we move fast, think rigorously, and care deeply about what we build. We combine cutting-edge research with close collaboration with our clients to deliver solutions that truly make an impact. If you want to be part of a team defining how AI transforms high-stakes knowledge work, this is the place to do it.About the role:As a Forward Deployed Engineer at DeepJudge, you own the technical implementation of our AI search platform for some of the world's leading law firms. Every customer environment is different: from cloud-native deployments to complex on-premise infrastructure, enterprise identity providers, document management systems, and datasets containing hundreds of millions of documents. Your mission is to ensure customers successfully deploy, integrate, and adopt DeepJudge in their environments.This is a highly technical, customer-facing engineering role that sits at the intersection of software engineering, infrastructure, and enterprise AI. You'll spend your time deploying software, solving complex integration and infrastructure challenges, troubleshooting production issues during customer implementations, and working directly with engineering teams to continuously improve the product and deployment experience. You'll collaborate closely with Sales Engineering, Product, Engineering, and Site Reliability Engineering to make every deployment faster, more reliable, and easier to operate. If you enjoy solving difficult technical problems, working directly with customers, and seeing the impact of your work in production, this role is for you. No travel is required for this role.Your responsibilities will include:Owning the technical solution end to end, from architecture and hands-on implementation through production rollout and adoption, adapting DeepJudge to the customer's environment and needs along the way.Deploying and configuring DeepJudge across cloud and on-premise customer environments.Integrating DeepJudge with enterprise systems such as document management systems, identity providers, cloud platforms, and other data sources.Troubleshooting complex issues across deployments, infrastructure, networking, authentication, integrations, and application behavior.Building deployment automation, implementation tooling, documentation, and operational playbooks that make customer deployments faster, easier, and more scalable.Working closely with Product, Engineering, and Site Reliability Engineering to solve complex technical challenges and improve both the product and deployment experience.Bringing recurring customer requirements and challenges back to the team and helping turn them into product and engineering improvements.Taking ownership beyond your immediate projects: spotting what is missing, fixing what is broken, and helping us build the processes and tools we need as we scale.You're a great fit if you:Have 3+ years of experience in Software Engineering, DevOps, Forward Deployment, Solutions Engineering, or a similar technical role.Have experience deploying or operating enterprise software in production environments.Have experience with technologies such as Kubernetes, Docker, Azure or GCP.Enjoy working directly with enterprise customers, building trusted technical relationships, and guiding complex implementation projects from kickoff to production.Enjoy troubleshooting complex technical problems that span infrastructure, integrations, and application behavior.Can communicate complex technical concepts clearly to both technical and non-technical audiences.Bonus: Experience with enterprise search, AI/LLM platforms, document management systems, Infrastructure as Code, or experience in a startup or high-growth SaaS environmentWhat you can look forward to:Owning the deployment of AI systems that power knowledge discovery for some of the world's leading law firms.Solving challenging engineering problems across enterprise infrastructure, cloud platforms, authentication systems, and large-scale data environmentsWorking closely with experienced engineers, product teams, and customers to shape both our platform and how it is deployedA high-ownership engineering culture founded by ex-Google search engineers and ETH Zurich AI PhDs, where customer feedback directly influences the productThe opportunity to improve deployment tooling, automation, and operational processes as we scale globallyA collaborative team in Zurich shaping how AI transforms professional knowledge work.At DeepJudge, we believe great teams are built on diverse perspectives and experiences. We are proud to be an equal opportunity employer and are committed to fostering an inclusive, high-performance culture where everyone can thrive. We welcome applicants of all backgrounds and do not discriminate based on race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, disability, veteran status, or any other characteristic protected by law.If this role excites you, but you feel you don’t meet every qualification, we encourage you to apply anyway and tell us why you’d be a great fit.

Research Engineer, Cybersecurity RL (Reinforcement Learning)

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Team The Security team protects Anthropic's AI systems and maintains the trust of our users and society. About the Role At Anthropic, we are pioneering new frontiers in AI that have the potential to greatly benefit society. However, developing advanced AI also comes with risks if not properly safeguarded. As a Research Engineer, you'll help to safely advance the capabilities of our models in incident response, security analysis, vulnerability remediation, and other areas of defensive cybersecurity. This role blends research and engineering, requiring you to both develop novel approaches and realize them in code. Your work will include designing and implementing RL environments, conducting experiments and evaluations, delivering your work into production training runs, and collaborating with other researchers, engineers, and cybersecurity specialists across and outside Anthropic. This role requires ML experience combined with domain expertise in cybersecurity. You might be an ML researcher with a history of cybersecurity work, or a security professional with a background in ML. Responsibilities Partner with researchers and safety teams across Anthropic to understand their analytical needs and build solutions Develop agentic integrations that allow AI systems to autonomously investigate and act on analytical findings Contribute to the strategic direction of the team, including decisions about what to build, what to partner on, and where to invest This role may require participation in an on-call rotation. You may be a good fit if you Have experience with machine learning. Have experience in cybersecurity research. Have strong software engineering skills. Can balance research exploration with engineering implementation. Are passionate about AI's potential and committed to developing safe and beneficial systems. Strong candidates may also have Professional experience in security engineering, fuzzing, detection and response, or other applied defensive work. Experience participating in or building CTF competitions and cyber ranges. Academic research experience in cybersecurity or other experimental & research background. Familiarity with RL techniques and environments. Familiarity with LLM training methodologies. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

VP of Engineering

About the RoleAs VP of Engineering, you will be responsible for building, scaling, and operating a high-performing software engineering organization capable of reliably delivering Neural Concept’s ambitious product and technology roadmap.You will turn product vision into software reality, while ensuring our teams and culture scale sustainably — in quality, velocity, and people development.What you will doOwn engineering execution and deliveryEnsure predictable, high-quality delivery across product and platform initiativesTranslate product and technical strategy into realistic plans, milestones, and commitmentsIdentify risks early and manage trade-offs transparentlyStructure the engineering organizationEvolve team structures, ownership boundaries, and collaboration models as we scaleBuild and coach engineering managers and tech leadsContinuously adapt the organization to match company growthBuild strong and modern engineering processesEstablish lightweight, effective development processes that scale without bureaucracyLeverage the best of AI technologies to amplify our impact while maintaining small, agile teamsDefine and track the right engineering metricsGuarantee technical quality, reliability, and security in practicePartner with the CTO to uphold architectural principles and long-term technical healthDrive pragmatic approaches to technical debt, qulity testing, and operational excellenceCollaborate with GTM and deployment teams to guarantee smooth, secure deployments across diverse customer scaling scenariosCollaborate closely with leadership and customersWork together with Product, Research, Deployment, and LeadershipRepresent engineering in cross-functional and customer-facing discussionsAct as a key partner to the CTO, providing clear signals on execution, risk, and org healthWho you areYou are a senior engineering leader who combines strong technical judgment with operational excellence and a deep understanding of how organizations scale. You are product-minded, pragmatic, think in systems and understand how outcomes derive from how people work together.Proven experience leading software engineering organizations at scaleExperience scaling teams, at least x2 and 50+ engineersExperience managing managers and tech leadsA track record of managing delivery in fast-growing, low-process environmentsStrong technical credibilityBroad understanding of modern software architecture, infrastructure, and securityDeep understanding about modern AI technology for software engineeringAbility to engage deeply with engineers on design, trade-offs, and reliabilityComfort operating in AI- and data-intensive product environmentsProduct mindset and pragmatismAbility to balance speed, quality, and long-term sustainabilityUser-first and product mindedCalm decision-making under pressureOutcomes-focused, and not perfectionistA people-first leadership mindsetHigh empathy and strong communication skillsCommitment to growing others and building healthy teamsDrive and ownershipWillingness to take responsibility and make hard callsTrack record of inspiring others and building confidence in high-uncertainty environmentsWhat You GetWork with a world-class technology team – our engineers are top-notch, and we always aim for excellence.Benefit from a competitive salary and rewarding opportunities as we continue to scale.Thrive in a collaborative, multicultural environment where your work is visible and recognized.Develop professionally alongside talented colleagues who share knowledge freely and support one another.Make a global impact by helping customers shift to AI-assisted design, making innovation faster, smarter, and more sustainable.Balance life and work with a hybrid model and flexible hours—we care about results, not rigid schedules.We're proud to be an equal opportunity employer, and we're committed to building a diverse and inclusive environment where you can thrive.

Research Engineer, Production Model Post-Training

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role Anthropic's production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. As a Research Engineer on our Post-Training team, you'll train our base models through the complete post-training stack to deliver the production Claude models that users interact with. You'll work at the intersection of cutting-edge research and production engineering, implementing, scaling, and improving post-training techniques like Constitutional AI, RLHF, and other alignment methodologies. Your work will directly impact the quality, safety, and capabilities of our production models. Note: For this role, we conduct all interviews in Python. This role may require responding to incidents on short-notice, including on weekends. Responsibilities: Implement and optimize post-training techniques at scale on frontier models Conduct research to develop and optimize post-training recipes that directly improve production model quality Design, build, and run robust, efficient pipelines for model fine-tuning and evaluation Develop tools to measure and improve model performance across various dimensions Collaborate with research teams to translate emerging techniques into production-ready implementations Debug complex issues in training pipelines and model behavior Help establish best practices for reliable, reproducible model post-training You may be a good fit if you: Thrive in controlled chaos and are energised, rather than overwhelmed, when juggling multiple urgent priorities Adapt quickly to changing priorities Maintain clarity when debugging complex, time-sensitive issues Have strong software engineering skills with experience building complex ML systems Are comfortable working with large-scale distributed systems and high-performance computing Have experience with training, fine-tuning, or evaluating large language models Can balance research exploration with engineering rigor and operational reliability Are adept at analyzing and debugging model training processes Enjoy collaborating across research and engineering disciplines Can navigate ambiguity and make progress in fast-moving research environments Strong candidates may also: Have experience with LLMs Have a keen interest in AI safety and responsible deployment We welcome candidates at various experience levels, with a preference for senior engineers who have hands-on experience with frontier AI systems. However, proficiency in Python, deep learning frameworks, and distributed computing is required for this role.Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Applied AI Engineer

About Us:DeepJudge is Switzerland’s leading AI and ICT scale-up, transforming how law firms and legal departments access and leverage their knowledge. Founded by former Google search engineers with PhDs in AI from ETH Zurich, and backed by top-tier Silicon Valley investors, we are building the intelligence layer that powers the legal industry.Every firm can license the same AI models, but no two firms share the same institutional knowledge. Decades of experience, work product, and precedent are often trapped across systems, underused and inaccessible. DeepJudge makes this expertise instantly available through world-class enterprise search and AI infrastructure, enabling firms to automate workflows, build knowledge-powered applications, and turn experience into a lasting advantage.Our technology is trusted by many of the world’s leading law firms, including Freshfields, Gunderson Dettmer, Holland & Knight, Arent Fox, and Cozen O’Connor. Headquartered in Switzerland with a growing team across North America, we are expanding rapidly and shaping the future of how professional knowledge is discovered and applied.At DeepJudge, we move fast, think rigorously, and care deeply about what we build. We combine cutting-edge research with close collaboration with our clients to deliver solutions that truly make an impact. If you want to be part of a team defining how AI transforms high-stakes knowledge work, this is the place to do it.About the role:We are looking for an Applied AI Engineer to join our team. You will work directly with customers to understand how they operate, identify high-leverage opportunities, and build AI-powered solutions that solve real problems. A big part of the role is using our own platform and internal tooling to turn the product’s capabilities into high-value experiences for customers. This is not a narrow research role or a pure implementation role. This is a role for someone who is curious, resourceful, and is eager to build great solutions on top of the DeepJudge platform.Your responsibilities will include:Owning customer-specific AI solutions end-to-end, from understanding the problem and shaping the approach to building, deploying, evaluating, and improving the solution over timeBuilding on top of our platform and internal tooling to create reusable AI-powered solutions that generalize across customers and can be relied on by thousands of end usersWorking closely with engineering and ML to improve AI-powered features of the core product and make the platform more intelligent over timeHelping customers and their technical or innovation teams get the most out of the DeepJudge through hands-on collaboration, guidance, tooling, and documentationEvaluating new LLM models, techniques, and approaches as they emerge, and bringing them into productionProactively spotting opportunities and issues, and coordinating across teams to move important work forward quicklyWhat we are looking for:You have built technically ambitious things that use LLMs, whether in personal or professional projects, through APIs directly, frameworks such as DSPy, LangChain, or LangGraph, or equivalent systems built from scratchProficiency in Python or JavaScriptYou are an exceptional communicator, both written and verbal, and you build trust quickly with technical and non-technical stakeholdersYou are highly customer-oriented, have strong intuition for what creates value, and care deeply about what you shipYou are a persistent problem-solver who is comfortable in fast-moving environments where you need to figure things out as you goYou do not need a legal background, but you should be excited to develop real domain expertise over timeWe care much more about your ability, judgment, and potential than about a specific number of years of experienceWhat you can look forward to:Taking ownership of meaningful work from day oneBuilding relationships with teams at some of the world’s leading law firmsWorking on novel AI use cases that combine technical depth with real-world impactBeing part of a team with ambitious goals, autonomy, and room to growHaving a real hand in shaping both our product and how customers succeed with itCompetitive compensation, equity, and meaningful opportunities to grow as we scaleAt DeepJudge, we believe great teams are built on diverse perspectives and experiences. We are proud to be an equal opportunity employer and are committed to fostering an inclusive, high-performance culture where everyone can thrive. We welcome applicants of all backgrounds and do not discriminate based on race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, disability, veteran status, or any other characteristic protected by law.If this role excites you, but you feel you don’t meet every qualification, we encourage you to apply anyway and tell us why you’d be a great fit.

Platform Engineer

About us:DeepJudge is Switzerland’s leading AI and ICT scale-up, transforming how law firms and legal departments access and leverage their knowledge. Founded by former Google search engineers with PhDs in AI from ETH Zurich, and backed by top-tier Silicon Valley investors, we are building the intelligence layer that powers the legal industry.Every firm can license the same AI models, but no two firms share the same institutional knowledge. Decades of experience, work product, and precedent are often trapped across systems, underused and inaccessible. DeepJudge makes this expertise instantly available through world-class enterprise search and AI infrastructure, enabling firms to automate workflows, build knowledge-powered applications, and turn experience into a lasting advantage.Our technology is trusted by many of the world’s leading law firms, including Freshfields, Gunderson Dettmer, Holland & Knight, Arent Fox, and Cozen O’Connor. Headquartered in Switzerland with a growing team across North America, we are expanding rapidly and shaping the future of how professional knowledge is discovered and applied.At DeepJudge, we move fast, think rigorously, and care deeply about what we build. We combine cutting-edge research with close collaboration with our clients to deliver solutions that truly make an impact. If you want to be part of a team defining how AI transforms high-stakes knowledge work, this is the place to do it.About the role:We are looking for a platform engineer / developer experience engineer to improve the systems that help our engineering team move quickly and safely.This is a hands-on role spanning build systems, CI, testing infrastructure, dependency and vulnerability management, and internal developer tooling. The engineer will combine operational ownership with deeper system improvement: keeping critical processes reliable while identifying and removing recurring sources of friction.The ideal candidate has strong software engineering fundamentals, excellent debugging instincts, and a genuine interest in building tools and workflows for other engineers. They understand that an internal platform is a product: solutions must be reliable, ergonomic, well documented, and easy to adopt.Candidates do not need prior ownership of every area in the role. We value broad engineering judgment, curiosity, and demonstrated interest in improving developer productivity over narrow specialization.Your responsibilities will include:Owning and maintaining build systems, CI pipelines, testing infrastructure and internal tooling to keep engineering workflows reliable and efficientHelping and enabling other engineers by identifying recurring sources of friction and designing and implementing solutions to remove themVulnerability and dependency managementReviewing code and contributing to a high standard of code quality and maintainabilityYou're a great fit if you:Have 4+ years of experience as a Software Engineer, Site Reliability Engineer or Developer Experience EngineerAre proficient in at least two of the following: build systems, continuous integration, testing, observability, dependency and vulnerability management, release workflows or internal toolingAre comfortable working with Python tooling and packaging, including dependency management and the broader Python developer ecosystemHave a genuine interest in building tools and processes that help other engineers move fasterHave strong software engineering fundamentals and excellent debugging instinctsBring broad engineering judgment and curiosity(Nice to have) Experience with tooling, packaging, and dependency management in JavaScript, Rust, Go or other language ecosystems(Nice to have) Experience working with Kubernetes, including deploying services and debugging running workloadsWhat you can look forward to:Location: Office 5min walking distance from Zurich central station, where we primarily work on siteCollaborative and supportive work environmentPotential for professional growth and advancement within the companyOwnership and ability to impact the company, product, and cultureAt DeepJudge, we believe great teams are built on diverse perspectives and experiences. We are proud to be an equal opportunity employer and are committed to fostering an inclusive, high-performance culture where everyone can thrive. We welcome applicants of all backgrounds and do not discriminate based on race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, disability, veteran status, or any other characteristic protected by law.If this role excites you, but you feel you don’t meet every qualification, we encourage you to apply anyway and tell us why you’d be a great fit.

CAD/CAE Automation Software Engineer (Forward Deployed)

About the RoleYou will work with our customers to bring NC’s AI into their engineering workflows, solving the strategic integration challenges across PLM, CAD, and simulation systems so they can design better products, faster. The work cuts both ways: a customer unblocked, and field experience built directly back into the product through features, tooling, and reusable integration patterns.What you will doWork directly with customers to understand their engineering workflows, constraints, and existing tools, translating that context into practical integration plans.Connect NC to customer PLM, CAD, and simulation systems through APIs, scripts, and other automation mechanisms.Automate engineering workflows and the associated data exchange, including where relevant the execution and monitoring of jobs across cloud or HPC environments.Contribute to NC’s core product as a product engineer, turning field experience into features, tooling, and patterns that make future integrations faster.Who you areAn engineer at heart, you’ve grown from mechanical or industrial engineering into automation and software development. Understanding how engineering teams work, and building practical ways to improve their workflows, is what motivates you.A builder and problem solver at heart, you enjoy challenges with no obvious solution. Stepping beyond familiar tools and methods, learning quickly and testing different approaches are part of the appeal. Whether exploring a poorly documented API or working around a missing integration point, you find a practical way forward. Working alongside customers, you turn those solutions into reliable tools that others can use, maintain and build on.Hands-on experience building integrations and automation for engineering workflows preferably involving PLM or CAD systems.Solid software engineering skills, including working with APIs, data models and databases. Able to turn scripts and prototypes into reliable, maintainable software through clear design, automated tests and code review.Familiarity with CATIA, 3DEXPERIENCE or TeamCenter is a strong plus.Good knowledge of simulation workflows and data exchange (FEM, CFD or CAE automation); deeper CAE or HPC experience is a strong plus.Clear communication with engineering teams and enthusiasm for working on-site with customers, looking beyond the requested fix to understand the underlying need.Travel: Meaningful time on-site with customers (up to a quarter of the time), the rest hybrid with flexible hours. Proximity to the customer compounds into a direct, deep impact on both their process and the product. Lausanne (preferred) or Zurich based.What you getA world-class technology team that aims for excellence.Competitive salary and rewarding opportunities as we scale.A collaborative, multicultural environment where work is visible and recognized.Professional growth alongside talented colleagues who share knowledge freely.Global impact, helping customers shift to AI-assisted design.Hybrid model (40% remote) and flexible hours.We're proud to be an equal opportunity employer, and we're committed to building a diverse and inclusive environment where you can thrive.