ARMAbout this role
We are looking for an experienced software/hardware engineer with a strong analytical approach to join the team and help ensure the best quality with most recent Arm ML software, systems and IP.
The successful engineer will be highly flexible, quick to learn and be motivated by the opportunity to understand and improve the quality of future Machine Learning solutions using Arm technology.
Are you our next team member?
Job Description:As an ML Engineer you will develop test infrastructure for our fully automated test flow, including functional and performance testing, as well as visualisation and report generation of the results.
We use advanced pre-silicon platforms of next-generation systems, to understand new use-cases and significant workloads to ensure Arm IP and systems deliver excellent ML performance and quality.
Required Skills and Experience :We’re looking for someone who follows up when something seems off, takes ownership beyond their assigned tasks, and pushes past team limitations to drive the right outcome.Actively use the latest AI tools and technologies to improve development, testing, and problem-solving.Great python knowledge is essential.Comfortable developing on Linux or MacYou have experience working with SW development or automated testing.You have strong communication skills, inter-cultural awareness and you embrace diversity.“Nice To Have” Skills and Experience :Experience from building test infrastructureExperience working with pre-silicon platforms.Familiarity with Docker and CI/CD systems (Jenkins, GitLab, or GitHub).Understanding of ML frameworks, compilers, or model execution flows.Familiarity with data analysis.In Return:At Arm, you will enjoy working in a highly stimulating collaborative environment. Our team works closely with other software, hardware and system teams across the company.
You will have a chance to share ideas with and learn new skills from the best engineers in the world. We work in small teams, so your contributions will really make a difference.
Please note this role does not meet the eligibility requirements for sponsorship, and therefore the successful candidate must have the right to work in the UK without relying on sponsorship by Arm.
#li-cm1
Job OverviewWe’re building software that helps Machine Learning and AI workloads run efficiently on the next generation of Arm compute platforms.
Our ML Engineering teams are looking for experienced software engineers with strong C++ skills and practical experience with Machine Learning frameworks such as PyTorch.
The work sits at the intersection of Machine Learning, software and hardware. Projects span ML frameworks and compilers, runtimes, drivers, embedded software and performance optimisation, creating opportunities to work on complex engineering challenges across the ML software stack.
We’re hiring across several levels of seniority, with scope and technical leadership matched to experience.
Interested in understanding what happens below an ML framework? Curious about how software and hardware come together to make AI workloads faster and more efficient? This could be a great opportunity to explore both.
What You'll DoThe team develops and optimises C++ and Python software for Machine Learning workloads, working closely with ML software and hardware engineers to understand how models execute and where performance and efficiency can be improved.
The work could include ML compilation, PyTorch integration, runtimes and drivers, performance analysis or embedded software. There will also be opportunities to contribute to technical design, take ownership of larger engineering challenges and support the development of other engineers.
What We're Looking ForWe’re particularly interested in experience with:
Professional C++ development and complex software systems.Machine Learning frameworks or tooling such as PyTorch.Python for software development, ML tooling, testing or automation.Debugging, performance analysis and solving complex software problems.Collaborative software development using source control, code review, testing and continuous integration.
Experience across every part of the ML software stack isn't expected. Knowledge of ML compilers, PyTorch internals, runtimes, drivers, embedded software, performance optimisation or hardware acceleration would be valuable, but we encourage applications from people whose experience doesn't cover every area.
What Arm OffersAt Arm, you'll work with engineers solving challenging problems across AI, software and hardware, with opportunities to learn from specialists across our global engineering community.
We support continuous learning and career development, alongside a collaborative working environment and a comprehensive range of employee benefits.
We want our recruitment process to be accessible to everyone. If an adjustment or accommodation would help during the recruitment process, please let our recruitment team know.
Ready to help shape how Machine Learning runs on future compute platforms? We'd love to hear from you!
#LI-CM1
Our 10x MindsetAt Arm, we believe progress happens when people are empowered to think bigger and push beyond what seems possible. Our 10x mindset is about curiosity, ambition and creating impact that will be used by millions. We learn fast, prioritise collaboration and turn bold ideas into real technology. We look for people who are inspired by this way of working and want to grow in an environment where bold ideas are welcomed. Discover how the 10x mindset shapes life at Arm: https://careers.arm.com/10x-mindset
Use of AI in Your ApplicationAt Arm, we embrace the benefits AI can bring, including in recruitment. You may use AI to support your preparation, such as improving the clarity of written responses, practicing interview questions, or learning more about our industry. However, your application and interview responses must reflect your own thinking, experience, and abilities. We want to understand your authentic perspective, creativity, and approach to problem solving. As such, you may not use AI to complete assigned tasks as part of any assessments. If you plan to use AI-supported or assistive technologies as part of a reasonable adjustment, please contact 
so we can support you.
Recruitment Adjustments and AccommodationsAt 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 WorkingArm’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 OpportunitiesArm 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.
Company:
ARM
Level of experience (years):
Senior (5+ years of experience)
How to apply:
Please mention NLP People as a source when applying