EV Powertrain: Applied AI Engineer

Neuralconcept

Lausanne

Hybrid

CHF 100,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Hybrid model
Equal opportunity employer

Job summary

Neural Concept is seeking an Applied AI Engineer for EV Powertrain to design data-driven engineering workflows on our platform. You will translate product direction into production-ready solutions, leveraging deep domain knowledge and cutting-edge AI tooling.

You will prototype with foundation models, LLM-based coding assistants, and Python/CAE scripting, collaborating with CAD/CAE/ML engineers to ensure quality and real-world applicability.

Qualifications

  • 5+ years hands-on engineering experience in EV powertrain domains (motors, gearboxes, batteries).
  • Fluent in powertrain simulation tools and/or system-level tools (MATLAB/Simulink, Amesim, etc.).
  • Proficient with modern AI tooling to build production-grade engineering workflows.

Responsibilities

  • Build data-driven engineering workflows for EV Powertrain applications on the Neural Concept platform.
  • Collaborate with lead customers to understand and solve challenges.
  • Prototype using AI/ML tooling and Python/CAE scripting to move from first pass to production-ready workflows.
  • Work with CAD/CAE/ML engineers to iterate prototypes rapidly.
  • Validate outputs against real-world engineering standards and reflect domain judgment.
  • Contribute insights back into the roadmap based on development learnings.

Skills

Python scripting
AI tooling
Foundation models
LLM-based tools

Tools

Motor-CAD
Maxwell
JMAG
Romax
MATLAB/Simulink
Amesim
Claude
Codex

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 subsystems – 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.

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