Senior Software Engineer – AI Developer Tooling

Our team crafts developer‑first tooling that ensures developers get the best out of Arm technology on day one. We strive to support our outstanding developer ecosystem by provisioning it with timely world‑class solutions that enable debugging, profiling and seamless deployment of workloads targeting Arm‑based hardware. We are looking for a curious and driven engineer who is passionate about delivering impactful, high‑quality software with a key focus on the end user experience. This is a unique opportunity to join a team working across a wide range of technology stacks to enable effective software development for the next wave of ML‑centric compute on Arm.

Responsibilities

• Collaborate within a diverse team to design, deliver and refine the tools and workflows required to accelerate development on the next generation of Arm‑powered, ML‑capable hardware.
• Engage with our agile development processes to help deliver high quality results at pace.
• Support and connect with internal and external customers to ensure alignment and delivery of multi‑faced end‑to‑end solutions.
• Strengthen Arm’s software ecosystem by upstreaming contributions and identifying opportunities to open source internal projects.

Qualifications

• Demonstrable proficiency in at least one programming language and software stack.
• A curiosity and drive to create innovative developer experiences through the early adoption of new technologies and methodologies.
• A “get things done” approach to shipping high‑quality, robust software which is maintainable and adaptable to evolving requirements.
• A strong sense of collaboration and an ability to connect with and build consensus across multi‑functional teams.
• Demonstrable ability to think beyond the code and consider the potential product and user impact of technical decisions.

Nice To Have Skills and Experience

• Experience with TypeScript, Go, Python or Rust.
• Experience of visualising datasets or creating rich, performant and accessible user interfaces.
• Experience curating external customer‑facing developer workflows.
• Experience developing for and on Arm architectures.
• Experience profiling or debugging ML workloads.
• Experience designing, training, optimising, and deploying machine learning models using frameworks like PyTorch, JAX, LiteRT or HuggingFace Transformers.
• Experience collaborating closely with product or design teams.

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