Intern AI and Software Engineer - Automotive MPUs
Quick Summary
Get hands-on with our S32N MPUs — helping prepare, optimise and deploy ML models onto real hardware. Prototype AI use-cases and help turn them into demos. Write clean,
The car is becoming a computer on wheels, and AI is moving from the cloud to the edge; right onto silicon. Our S32N automotive MPUs pack proprietary AI IP blocks that let carmakers run machine learning where it matters: in the vehicle, in real-time, safely.
We're looking for an AI-native intern — someone who reaches for an LLM, a notebook, or a model as second nature — to spend time with our Glasgow team working on real edge-AI problems with real automotive silicon.
Responsibilities
~1 min read- →
Get hands-on with our S32N MPUs — helping prepare, optimise and deploy ML models onto real hardware.
- →
Prototype AI use-cases and help turn them into demos.
- →
Write clean, modern code and use AI coding assistants and automation as everyday tools.
- →
Learn alongside a global network of experienced engineers who'll help you grow fast.
A 3rd or 4th year student working towards a degree in Computer Science, Electronics, AI/ML, Software or a related field.
Familiarity with AI/ML basics and Python — and genuine curiosity about LLMs and modern AI workflows.
Some software fundamentals (any C/C++ a bonus) and comfort with version control (git).
A builder's mindset: you like learning by doing and aren't afraid of a problem without a textbook answer.
Clear communication and enthusiasm to jump in.
You'll get real experience at the ground floor of edge AI in automotive — real silicon, real problems, and a team that'll back you to experiment, learn, and bring us fresh thinking we don't yet have.
#LI-c856Location & Eligibility
About this job
- Who can apply
- United Kingdom
- Posted
- 12 days ago
Listing Details
- First seen
- October 18, 2026
- Last seen
- October 30, 2026
Posting Health
- Days active
- 11
- Repost count
- 0
- Trust Level
- 17%
- Scored at
- October 30, 2026
Signal breakdown
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