Senior Software Engineer - Machine Learning Tools

Senior Software Engineer - Machine Learning Tools

Location: Cambridge, United Kingdom

Overview

Arm technology drives everything from ultra-low-power IoT sensors to hyperscale cloud servers. In the Developer Platforms group, we strive to create outstanding developer experiences by providing intuitive tools, native to the environments developers prefer, which enable them to unlock the full potential of our architecture.

We are looking for software engineers who are passionate about empowering developers delivering machine learning experiences on Arm. Our team addresses developer challenges across model selection, training, profiling, deployment, hardware configuration, and visualisation, transforming complex problems into intuitive solutions.

Responsibilities

• Collaborate within a diverse team to design, deliver and refine the tools and experiences
• Support development on Arm processors
• Work alongside peers and junior team members to solve technical problems, mentoring as necessary
• Form effective relationships with other engineers, product managers and UX specialists to deeply understand and empower users
• Engage with agile planning and development processes to shape delivery of our products
• Ensure quality through unit testing and continuous integration

Required Skills And Experience

• Programming Proficiency: Demonstrable expertise in at least one programming language, capable of writing well-structured, readable code with robust error handling, adaptable to changing requirements
• Software Engineering Fundamentals: Proficiency in version control, automated testing, CI/CD, and Agile methodologies
• Results-Driven: A desire to push forward the state of the art in developer tooling by embracing new technologies and continuous innovation
• Developer-Centric Mindset: You care about making developers’ lives easier, with sensitivity to both the delightful and frustrating aspects of software development

Nice To Have Skills And Experience

• Experience with the technologies below is helpful, but a willingness to learn is more important, and we actively support that growth
• Experience shipping real products to customers
• ML Design and Deployment: Familiarity with designing, training, optimizing, and deploying machine learning models using frameworks like PyTorch, JAX, LiteRT, HuggingFace Transformers, or commercial APIs
• Containerisation: Experience with cloud deployments and containerisation (Docker, Kubernetes, containerd)
• Linux: Embedded Linux and kernel development
• Programming Languages: TypeScript, Python, Rust, and Go (we adopt a flexible tooling approach)

In Return

You will join an established and experienced team working with innovative technologies in an agile environment which requires proactivity, dynamic approaches to problem solving and creative thinking. You will work on greenfield software products which ship with new Arm hardware on day one.

Please provide a covering letter with your application.

Accommodations at Arm

If you need an adjustment or accommodation during the recruitment process, please email

Hybrid Working at Arm

Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We encourage teams to determine their own hybrid patterns based on work and team needs. Details will be shared upon application. If local legal, regulatory, tax, or other considerations limit flexibility, we will work with you to find the best solution.

Equal Opportunities at Arm

Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Semiconductor Manufacturing, Software Development, and Computer Hardware Manufacturing

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