Senior Machine Learning Software Engineer

CamWebDir; United Kingdom; Hybrid; GBP 75,000 - 110,000; Full time

Job summary

Arm seeks a Senior Machine Learning Software Engineer to advance C++/Python software for ML workloads across software and hardware boundaries. You will work on ML compilation, PyTorch integration, runtimes and embedded software with engineers across ML and hardware teams.

The role emphasizes performance optimization, debugging and collaborative development within a hybrid work model, with opportunities to contribute to architectural design and mentor peers.

Qualifications

• Professional C++ development experience in complex software systems.
• Proficiency with Python for ML tooling, testing or automation.
• Experience debugging, performance analysis and solving complex software problems.
• Collaborative software development using source control, code review and CI/CD.

Responsibilities

• Develop and optimise C++ and Python software for ML workloads, collaborating with ML and hardware engineers.
• Work on ML compilation, PyTorch integration, runtimes, drivers, performance analysis or embedded software.
• Contribute to technical design and take ownership of large engineering challenges, mentoring others.

Skills

C++ development

Python for software development

Debugging & performance analysis

Source control & CI

ML frameworks experience

Tools

PyTorch

Job description

Senior Machine Learning Software Engineer

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 Do

The 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 For

• 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 Offers

At 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.

Accommodations at Arm

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.

At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email [email protected]. 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.

Ready to help shape how Machine Learning runs on future compute platforms? We'd love to hear from you!