National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Staff Software Engineer - Focus on GPU technologies andparallel execution (Hiring Immediately)

ARM
Cambridge
7 months ago
Applications closed

Related Jobs

View all jobs

Principal Software Engineer

Software Engineer

Staff Machine Learning Engineer

Software Engineer (Machine Learning)

Staff Machine Learning Engineer

Graduate Electronics Engineer

Job Overview:Our group writes the layer of thedriver that implements the popular GPU compute APIs, such asOpenCL, which provide massively parallel execution of generalpurpose (C-like) code on Mali GPUs, often known as GPGPU (General-purpose computing on graphics processing units). Our many customershave performance-critical GPU compute use cases that includemachine learning (ML), image processing & computer vision (CV),video encoding and decoding. Mobile devices are highly constrainedenvironments, and our challenge is to provide this sophisticatedfunctionality, while improving both dependability and efficiency.If you want to develop your skills and understanding in thesetechnologies, this is the opportunity for you. Join us and togetherwe will make GPU compute and Mali a success in our customers hands!##Your new teamYou will join a multifaceted, collaborativeand highly motivated Agile software development team working on theGPU compute drivers for the next generation Mali™ mobile GPUs. Youwill develop with the latest yet-to-be-published Android versionsand will help craft the technologies that the mobile market willsee in years to come. This inclusive multinational development teamis located in a cheerful campus in Cambridge, the technologicalcentre of the UK. ##Responsibilities:We have different teamsthat handle the development, performance analysis and optimisationof the GPU driver. You may be adding new functionality to supportthe latest GPUs, identifying optimisation opportunities to squeezeout that last bit of performance, developing our infrastructure toensure it supports the ever-growing number of benchmarks that werun or working on many other exciting tasks! You will work in aLinux environment, working on Arm-based targets including models,FPGAs and silicon from our partner companies (thereby coveringpast, present and future generations of our designs). As a memberof an Agile team, you will have the chance to try your hand atdifferent aspects of our work. Engineers grow their expertisethrough in-house and externally hosted training, and through peercode reviews. You will be working closely together with ourcommunity of engineering teams across Arm’s European design centresdeveloping technologies for the current and next generations of ArmMali™ GPUs. * Participating in all phases of software development –including design, implementation, testing, code review anddocumentation. * Implementing new features in the driver andorinfrastructure. * Testing and analysing the functionality andperformance of our software. * Performing design and code reviewsfor other team members. * Engaging with the rest of the team forinvestigation, estimation and planning purposes. * Maintaining theexisting codebase: fixing bugs and other quality assuranceactivities. * Promoting and demonstrating the Arm core beliefs andbehaviours. ##Required Skills and Experience :* Experience inC and C++ programming. * An understanding of embedded hardwarearchitectures and software engineering development practices. *Proficiency in problem solving and debugging with a practical,organised and analytical approach to work. * Good interpersonalteam-working skills, self-motivated and results focused. * Goodwritten and spoken English. ##“Nice To Have” Skills andExperience :* Experience of OpenCL, CUDA, or Vulkan. *Experience in scripting with Python and Bash. * Knowledge ofsoftware optimisation, profiling and instrumentation techniques.Experience developing software for Linux or Android based systems.Experience with data analysis and statistics. * Experience withmachine learning. * Knowledge of the internal operation ofcompilers (particularly LLVM), although this is not a compilerrole. * Familiarity with Git, and bug tracking tools. * Experiencein creating design and test specifications and in the creation andmaintenance of test suites. * Automation skills, with exposure toDocker. * Experience with Agile development processes. * Experienceof driver or HAL development. * Working exposure to softwaredevelopment for a commercial organisation. ##In Return:Wehave a strong background of building up expertise in people, sothis is an excellent opportunity to learn something new andinteresting in a friendly and collaborative environment. You willget to contribute to our Mali and Immortalis GPU product lines,learn about the latest GPU technologies, utilise your engineeringskills to support and influence the technologies used on millionsof devices. #LI-SM1 ##Accommodations at ArmAt Arm, we wantour people toDo Great Things. If you need support or anaccommodation toBe Your Brilliant Selfduring the recruitmentprocess, please email. To note,by sending us the requested information, you consent to its use byArm to arrange for appropriate accommodations. All accommodationrequests will be treated with confidentiality, and informationconcerning these requests will only be disclosed as necessary toprovide the accommodation. Although this is not an exhaustive list,examples of support include breaks between interviews, havingdocuments read aloud or office accessibility. Please email us aboutanything we can do to accommodate you during the recruitmentprocess. ##Hybrid Working at ArmArm’s approach to hybridworking is designed to create a working environment that supportsboth high performance and personal wellbeing. We believe inbringing people together face to face to enable us to work at pace,whilst recognizing the value of flexibility. Within that framework,we empower groupsteams to determine their own hybrid workingpatterns, depending on the work and the team’s needs. Details ofwhat this means for each role will be shared upon application. Insome cases, the flexibility we can offer is limited by local legal,regulatory, tax, or other considerations, and where this is thecase, we will collaborate with you to find the best solution.Please talk to us to find out more about what this could look likefor you. ##Equal Opportunities at ArmArm is an equalopportunity employer, committed to providing an environment ofmutual respect where equal opportunities are available to allapplicants and colleagues. We are a diverse organization ofdedicated and innovative individuals, and don’t discriminate on thebasis of race, color, religion, sex, sexual orientation, genderidentity, national origin, disability, or status as a protectedveteran.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.