EV Powertrain: Applied AI Engineer

Job description

**Applied AI Engineer – EV Powertrain** *Location: Lausanne, Switzerland or Cambridge, UK* *About the role* Neural Concept's Vertical Solutions team builds data-driven workflows for specific engineering applications that sit on top of the Neural Concept platform. Working alongside the Solution Owner — who defines product direction and customer value — you bring the deep engineering domain expertise and hands-on technical build capability needed to turn that direction into a working solution. You combine real-world EV Powertrain design experience with fluency in modern AI tooling, including foundation models and LLM-based build assistants, to prototype and ship production-grade workflows quickly. *What you will do* - Build data-driven engineering workflows for EV Powertrain applications (electric motor, gearbox, battery, EDU) on the Neural Concept platform, translating the Solution Owner's product direction into working solutions. - Work with lead customers to understand and solve their challenges - Apply deep domain knowledge to ensure workflows reflect real engineering practice, constraints, and edge cases that a non-domain builder would miss. - Hands-on prototyping using AI/ML tooling — foundation models, LLM-based coding assistants (e.g. Claude), and Python/CAE scripting — to build and iterate rapidly. - Work day-to-day with CAD/CAE/ML engineers to take prototypes from first pass to production-ready quality. - Validate outputs against real-world engineering standards, using your domain judgment as the quality bar. - Feed technical and domain insight back into the broader roadmap based on what you learn while building. *Who you are* - 5+ years of hands-on engineering experience at an OEM or Tier 1 supplier, designing electric motors, gearboxes, batteries, or other EDU sub-systems — system-level experience preferred. - Fluent in Powertrain simulation tools (Motor-CAD, Maxwell, JMAG, Romax) and/or system-level tools (MATLAB/Simulink, Amesim, or in-house tools). - Proficient, hands-on user of modern AI tooling — comfortable building real engineering solutions with foundation models and LLM-based tools such as Claude or Codex, not just casually experimenting with them. - Direct involvement in an AI transformation initiative at your current or previous company — evidence you've driven AI adoption in engineering practice, not just observed it. - Strong Python (or equivalent) scripting ability to build and connect workflow components yourself. - Builder mindset: you'd rather prototype something quickly and iterate than stay at the strategy level. *What you get* - Work 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. - 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.