Applied AI Engineer – EV Powertrain
EPFL Innovation Park, 1015 Lausanne · AI / Engineering Software (CAE) · Engineering Platform · Englisch
Wer wir sind
Neural Concept revolutioniert das Ingenieurwesen mit Deep Learning, dies ist eine aufregende Zeit, Teil des Teams zu sein, da wir wachsen und in neue Gebiete expandieren.
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.
Fähigkeiten
Python
ML / AI
MATLABGehaltsspanne
Auf AnfrageDieser Arbeitgeber nennt die Gehaltsspanne im ersten Gespräch.
Kontakt
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