EV Powertrain: Applied AI Engineer

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.