Software Performance Engineer

Arm's Machine Learning group in Cambridge is hiring! Would you like to help analyse and improve the latest Machine Learning or Artificial Intelligence solutions on Arm hardware and software?

Successful candidates will be working on groundbreaking Arm platforms and aiding the development of technology that will power the next generation of mobile apps, portable devices, home automation, smart cities, self-driving cars, and much more.

We are a small and diverse team of hardworking system & performance analysts. We work with teams across Arm to understand and guide both internally to Arm Engineering and externally out to Arm partners.

At Arm, you will work with the world’s best companies as they build sector-leading products from our designs. You’ll share ideas with and learn new skills from the best engineers in the world. This role offers you the opportunity to make a difference with your contributions, lead, challenge the status quo and ultimately change the world of machine learning and artificial intelligence.

We are looking for a software engineer with a strong analytical approach to join the team and help ensure the best performance with most recent Arm ML software, systems and IP.

How will I contribute?

• You will run & analyse ML/AI performance on next-generation Arm IP, and feed-back into the software and hardware development teams.
• You will produce technical summaries for a range of audiences, based on detailed analysis and interpretation of data.
• You will learn about this new frontier and share this knowledge with others across the company.

• University degree (or equivalent) in Computer Science, Electronic Engineering or a related field.

• Demonstrable experience in pre-silicon or post-silicon performance analysis.
• Hands-on experience running workloads on Linux or Android based devices, development boards, or pre/post-silicon environments.
• Experience using or developing automation harnesses for repeatable workload execution, data collection, profiling, and analysis.
• Strong scripting and data-analysis skills, for example Python, shell scripting, or similar tools.
• Experience with profiling tools, performance counters, system traces or telemetry (differentiating).
• Experience with working on pre-silicon platforms such as FPGA (differentiating).
• Knowledge about ML/AI workloads can be a benefit, but can be learned on-the-job.

• Passion for analysis and improvement.
• Capable of working both in teams and independently.
• High degree of initiative and a confident problem solver.
• Fluent in English language, both written and spoken.
• Good communicator, personable and able to work and communicate at a detailed or high level.

If skilled worker sponsorship is required, Arm will meet costs associated with sponsorship for the employer only. All fees associated with the individual’s application e.g. visa application fee and Immigration Health Surcharge, will be the responsibility of the successful candidate.

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.

Arm’s approach to hybrid working is…