Intern AI and Software Engineer - Automotive MPUs
NXP Semiconductors
Intern AI and Software Engineer - Automotive MPUs
Job Description
NXP Semiconductors, Automotive Processors, Solutions & Applications, Glasgow, UK, (3 month Summer Internship)The mission: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.What you'll actually do: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.What we're looking for: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.Why it's worth it: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.More information about NXP in the United Kingdom...#LI-c856
Locations
- Glasgow
Skills Required
- AI/ML basicsintermediate
Required Qualifications
- A 3rd or 4th year student working towards a degree in Computer Science, Electronics, AI/ML, Software or a related field. (degree in 4th year student working towards a degree in computer science)
- Familiarity with AI/ML basics and Python — and genuine curiosity about LLMs and modern AI workflows. (experience)
- Some software fundamentals (any C/C++ a bonus) and comfort with version control (git). (experience)
- A builder's mindset: you like learning by doing and aren't afraid of a problem without a textbook answer. (experience)
- Clear communication and enthusiasm to jump in. (experience)
- A 3rd or 4th year student working towards a degree in Computer Science, Electronics, AI/ML, Software or a related field. (degree in 4th year student working towards a degree in computer science)
- Familiarity with AI/ML basics and Python — and genuine curiosity about LLMs and modern AI workflows. (experience)
- Some software fundamentals (any C/C++ a bonus) and comfort with version control (git). (experience)
- A builder's mindset: you like learning by doing and aren't afraid of a problem without a textbook answer. (experience)
- Clear communication and enthusiasm to jump in. (experience)
Responsibilities
- 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.
- 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.
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