EV Powertrain AI Engineer - Prototyping to Production

Neuralconcept; Lausanne; Hybrid; CHF 100,000 - 150,000; Full time

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

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.