Job Overview
Our team develops the driver layer that implements widely used GPU compute and machine learning APIs, including Vulkan ML and OpenCL, enabling massively parallel workloads on Arm Mali GPUs.
Mali GPUs power performance-critical applications such as machine learning, image processing, computer vision, and video encode and decode. Working within the constraints of mobile and embedded systems, we deliver advanced functionality while continuously improving performance, efficiency, and reliability.
You will join a collaborative Agile team developing GPU compute drivers for next-generation Mali GPUs. Working with pre-release Android platforms and emerging technologies, you will help shape capabilities that will reach the mobile market in the years ahead.
We use modern AI information retrieval tools and advanced engineering practices to improve productivity and quality, placing you at the forefront of contemporary software development.
Based in Cambridge, one of the UK's leading technology hubs, you will be part of a diverse and inclusive team in a supportive, forward-looking environment.
Responsibilities
You will contribute to one of several specialised areas within the GPU compute driver team, including feature development, performance optimisation, infrastructure, and quality engineering.
Your work may involve enabling new GPU capabilities, identifying optimization opportunities to maximise performance, enhancing internal tooling and infrastructure, or supporting demanding ML and compute workloads.
You Will
Contribute across the full software development lifecycle, including design, implementation, testing, review, and documentation
Develop and optimise driver features and supporting infrastructure
Analyse functionality and performance across diverse, performance-critical workloads
Maintain and improve the codebase through debugging, refactoring, and quality assurance activities
Take part in design discussions, peer reviews, estimation, and Agile planning
Collaborate with compiler, ML, integration, and solutions teams on cross-functional initiatives
Work in a Linux environment on Arm-based targets, including models, FPGAs, and production silicon
Apply modern AI-assisted engineering tools and practices to improve productivity and quality
Uphold Arm's engineering standards and collaborative culture
This role offers broad technical exposure, continuous learning through training and peer collaboration, and the opportunity to influence technologies deployed in millions of devices worldwide.
Required Skills And Experience
Strong proficiency in C and C++ for systems-level development
Good understanding of embedded systems and hardware–software interaction, applying solid software engineering principles
Strong problem-solving and debugging skills, with a structured and analytical approach
Effective communication and teamwork skills, with experience working in an Agile environment
Clear written and spoken English suitable for an international engineering setting
"Nice To Have" Skills and Experience :
Experience with graphics or compute APIs such as Vulkan or OpenCL
Experience in device driver development, ideally in GPU or other performance-critical areas
Exposure to machine learning workloads in performance-sensitive environments
Experience writing design documentation and developing automated test suites
Proficiency in Python or Bash for scripting and automation
Experience developing for Linux or Android platforms
Familiarity with Git, issue tracking tools, and Agile development practices
Experience contributing to large or multi-site software projects
Knowledge of performance optimisation, profiling, and instrumentation techniques
Understanding of compiler internals, particularly LLVM
Experience with automation and DevOps tools such as Docker and CI/CD systems
Exposure to data analysis and statistics for performance evaluation
Accommodations at Arm
At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.
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 believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team's needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.
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 are a diverse organization of dedicated and innovative individuals, and don't discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.