Backend jobs in Lausanne

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.

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.