At Arm, our teams shape the future of energy-efficient AI. We build the foundations of tomorrow's intelligent systems - from next-generation processors and accelerators to powerful ML models and tools. As a Graduate Software Engineer, you'll be part of a team pushing the boundaries of what's possible at the intersection of AI, architecture, and scalable compute.

Do you have strong coding fundamentals, curiosity, and a genuine interest in AI infrastructure? Are you excited by large-scale distributed systems and have some exposure to modern developer workflows, including agentic coding tools or AI-assisted software development? This is a rare opportunity to join a new team and build new products and reference implementations that shall enable developers to easily apply new Arm technology in their solutions.

Whatyou could be doing as a Graduate Software Engineer?

As a Software Engineer you'll work on performance engineering across the AI/ML inference stack end to end, from silicon and systems layers through runtime, serving, and API surfaces. You'll work across platform, performance and developer experience.

Examples:

Participating in different aspects of commercial and open-source software development, from product design and implementation to testing and support.

Working on solutions that will make use of your existing knowledge and skills, whilst also requiring you to learn something new.

Analyzing existing tools looking for enhancements/automation, alongside trialing new tools.

We are looking for individuals who:

Hold (or are on track to hold) a Bachelor's or Master's degree in Computer Engineering or Computer Science. Candidates with alternative degrees will also be considered if they have relevant experience.

Qualities that will help your application stand out:

Experience in at least one programming language (Python, C++, Java, etc.)

Solid understanding of core concepts in machine learning, artificial intelligence, and large language models (LLMs).

Exposure to, or experience with, agentic coding assistants like Codex, Claude Code, etc.

Hands-on experience building AI solutions using modern frameworks (e.g., PyTorch) and related tooling.

Familiarity with deep learning methodologies and AI system design.

ARM

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