EV Powertrain: Applied AI Engineer

Neuralconcept; Bremen; Hybrid; EUR 80.000 - 129.000; Vollzeit

Benefits dieser Stelle

Hybrid work model

Flexible hours

Competitive salary

Zusammenfassung

Neural Concept seeks an Applied AI Engineer to build data-driven EV Powertrain workflows on our platform, translating product direction into working solutions. You will prototype with AI tooling and Python scripting, then refine into production-grade workflows with CAD/CAE/ML engineers.

Ideal candidates have 5+ years in EV powertrain design, deep experience with powertrain tools, and hands-on AI adoption in engineering. Hybrid role across Lausanne or Cambridge with flexible hours.

Qualifikationen

• 5+ years of hands-on engineering experience in EV powertrain design (motor, gearbox, battery, or EDU subsystems).
• Fluent in Powertrain simulation tools (Motor-CAD, Maxwell, JMAG, Romax) and system-level tools (MATLAB/Simulink, Amesim, or in-house).
• Proficient, hands-on user of modern AI tooling (foundation models, LLM-based tools like Claude/Codex).
• Direct involvement in an AI transformation initiative in engineering practice.
• Strong Python scripting to connect workflow components.
• Builder mindset: prefer rapid prototyping and iteration over pure strategy.

Aufgaben

• Build data-driven engineering workflows for EV Powertrain applications on the Neural Concept platform.
• Collaborate with lead customers to understand and solve challenges.
• Apply domain knowledge to ensure workflows reflect real engineering practice and edge cases.
• Prototype using AI/ML tooling and Python/CAE scripting to iterate quickly.
• Work with CAD/CAE/ML engineers to move prototypes to production-grade quality.
• Validate outputs against real-world engineering standards and roadmap feedback.

Kenntnisse

Engineering exp

Powertrain tools

AI tooling

Python scripting

AI adoption

Prototype mindset

Tools

Motor-CAD

Maxwell

JMAG

Romax

MATLAB/Simulink

Amesim

In-house tools

Jobbeschreibung

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.