Graduate AI and Software Engineer - Automotive MPUs

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 building the next generation of our Glasgow applications team, and we want people who are AI-native; who reach for an LLM, a notebook, or a model before a manual. You won't just support customers; increasingly you'll be leading them, showing the world's biggest automotive names what's possible with our devices before they even ask.

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  Get hands-on fast with our S32N MPUs and AI toolchains — preparing, optimising and deploying ML models onto real automotive hardware.

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  Prototype new AI use-cases (on-device assistants, anomaly detection, predictive maintenance, etc.) and turn them into demos that win designs.

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  Write clean, modern software; and use AI coding assistants, CI/CD and automation as everyday tools, not afterthoughts.

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  Work shoulder-to-shoulder with global customers and our worldwide engineering teams, becoming the technical voice that shapes how our AI silicon gets used.

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  Bring fresh thinking. If there's a faster, smarter, more automated way; then we want you to find it and share it!

• A degree in Computer Science, Electronics, AI/ML, Software or a related engineering field.

• Genuine fluency with AI/ML concepts and tools — Python, PyTorch/TensorFlow/ONNX, and comfort experimenting with LLMs and modern AI workflows.

• Solid software fundamentals (C/C++ a plus), version control (git), and curiosity about how software meets hardware.

• A builder's mindset: you learn by doing, you're not afraid of the unknown, and you like solving problems that don't have a textbook answer.

• Great communication, because you'll be explaining clever things to smart people, including customers.

Embedded systems, edge AI deployment, automotive/functional-safety awareness, model quantisation and optimisation.

You're joining at the ground floor of edge AI in automotive, with real silicon, real customers, and the freedom to shape a brand-new capability inside our team. You'll be surrounded by a global network of experienced engineers to learn from, while bringing skills we need and don't yet have. Come help us lead the industry instead of following it.

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