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

ARM
Cambridge
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist/ Software Engineer

Senior Staff Engineer (Machine Learning) - 45391

Senior Staff Engineer (Machine Learning) - 45391

Senior Staff Engineer (Machine Learning) - 45391

Senior Staff Engineer (Machine Learning) - 45391

Senior Staff Engineer (Machine Learning) - 45391

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.

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 for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.