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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.

Lausanne

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.

Lausanne

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.

Lausanne

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.

Lausanne

Platform Deployment Engineer (Europe)

Neural Concept embeds AI into design and simulation workflows so engineering teams make continuous, data-driven decisions instead of waiting on sequential design–simulation–validation cycles. None of that matters until the platform is running inside the customer's environment, on their infrastructure, under their rules.That is this role. You take an enterprise customer and make the platform real for them: architected, deployed, integrated, cleared by their security organisation, and stable enough that their engineers stop thinking about it. You own that outcome end to end for named accounts, as their primary technical counterpart. What you will do The deployment, from the first architecture conversation through go-live and into steady-state operation.Its integration with the customer's identity, data and engineering systems, and the infrastructure and model serving layer beneath it.The relationship with their IT, security and platform teams: assessments, architecture reviews, and the call when something breaks.The diagnosis when it does break, including when the cause sits outside our own software.The runbooks, post-mortems and playbooks that make the next deployment easier, and the feedback loop into Product. Where you will do itManaged Kubernetes across the major clouds. On-premises and fully air-gapped clusters with no route to the internet, GPU infrastructure, self-hosted model serving. Customer HPC environments, schedulers, and shared storage under real load. If installing software with no internet access, on hardware you do not control, reads as the interesting part of the job rather than the obstacle, this will suit you. Who you are You will often be the only Neural Concept engineer in the room. We are looking for someone with:6+ years deploying and operating enterprise software in production, two of them in environments you did not control.Kubernetes at configuration depth: how chart values become rendered manifests, and why a workload will not start.Identity and SSO fundamentals: OIDC and SAML, clients and credential rotation, redirect URIs, group-to-role mapping.Linux, networking and TLS: DNS, routing, ingress and egress, certificate chains and interception proxies.Kubernetes storage: persistent volumes and CSI, access modes, diagnosing shared storage that degrades under load.A production deployment you personally carried and then supported. Name it, date it, tell us what went wrong.Professional customer-facing English, and willingness to travel and work your customers' hours.Also valuable: regulated or air-gapped deployments · private registries and image mirroring · GPU scheduling and LLM serving · enterprise IdP administration · Terraform and GitOps · Prometheus and Grafana · HPC schedulers · ISO 27001 evidence · Python · PLM, CAD or CAE exposure. 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 remote work or hybrid model (20% remote) —we care about results, not rigid schedules. Where You Will BeRemote from Europe or one of our offices in Switzerland or Munich;Travelling: This position will require travelling to customer location within EuropeStart date: ASAPWe're proud to be an equal opportunity employer, and we're committed to building a diverse and inclusive environment where you can thrive.

Lausanne