ML/AI Performance Engineer - Hybrid & Edge Workloads

Arm Limited; Cambridge; Hybrid; GBP 70,000 - 100,000; Full time

Job summary

Arm Limited's Machine Learning group in Cambridge is hiring a software engineer with a strong analytical approach to join the team and help ensure the best performance of ML/AI workloads on Arm IP. This role involves analyzing next-generation Arm IP performance, generating technical summaries, and collaborating with software and hardware teams across Arm.

You will work on ML/AI workloads, develop automation, and share knowledge across the company, helping advance Arm platforms powering mobile

Qualifications

• University degree (or equivalent) in Computer Science, Electronic Engineering or a related field.
• 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 (Python, shell).
• Experience with profiling tools, performance counters, system traces or telemetry.
• Experience with pre-silicon platforms such as FPGA (differentiating).
• Knowledge about ML/AI workloads can be a benefit, but can be learned on-the-job.

Responsibilities

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

Skills

Performance analysis

Linux/Android workloads

Automation harnesses

Python/shell scripting

Profiling tools

FPGA/pre-silicon platforms

ML/AI workloads knowledge

Education

University degree in Computer Science or related field

Job description

Arm Limited's Machine Learning group in Cambridge is hiring a software engineer with a strong analytical approach to join the team and help ensure the best performance of ML/AI workloads on Arm IP. This role involves analyzing next-generation Arm IP performance, generating technical summaries, and collaborating with software and hardware teams across Arm.

You will work on ML/AI workloads, develop automation, and share knowledge across the company, helping advance Arm platforms powering mobile