Software Performance Engineer

Overview

In Arm’s Machine Learning group, you will analyze ML/AI performance on next-generation Arm IP and feed insights back to hardware and software teams. You’ll produce technical summaries for varied audiences and share knowledge across the company. The role blends hands-on performance work with cross‑functional collaboration to shape Arm ML software, systems, and IP. This is a chance to impact how ML workloads run on Arm devices at scale and contribute to pioneering AI technology.

Pay / Benefits

• sponsorship for skilled worker
• accommodations during recruitment process
• hybrid working arrangements
• equal opportunities
• supportive and diverse team
• international collaboration (Arm ecosystem)

Responsibilities

• Run and analyse ML/AI performance on next-generation Arm IP and provide feedback to software and hardware teams
• Produce technical summaries from detailed data analysis for diverse audiences
• Collaborate with cross-functional teams across Arm to share findings and learn
• Contextualize results for internal and external stakeholders to influence development directions
• Support knowledge transfer within the company by sharing insights and best practices

Key requirements

• Demonstrable experience in pre-silicon or post-silicon performance analysis
• Hands-on experience running workloads on Linux or Android 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 (e.g., Python, shell scripting)
• Experience with profiling tools, system traces or telemetry
• Experience with pre-silicon platforms such as FPGA
• Passion for analysis and improvement
• Ability to work both in teams and independently
• High initiative and a confident problem solver
• Performance analysis
• Linux/Android workload execution
• Automation harnesses for workload execution and data collection

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