ML Systems Performance Engineer – Hybrid Role

Arm; Cambridge; Hybrid; GBP 55,000 - 75,000; Full time

Benefits offered by this job

Hybrid working

Accommodations during recruitment

Job summary

Arm's Machine Learning group in Cambridge is hiring to analyse and improve ML/AI workloads on Arm hardware and software. You'll work on next-generation IP to optimise performance across Linux/Android devices and development boards.

You will create technical summaries for varied audiences and share insights across teams, joining a diverse, collaborative environment that values initiative and rigorous analysis.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Performance analysis

Linux workloads

Automation harnesses

Scripting & data analysis

Profiling tools

FPGA work

ML/AI workloads

Education

University degree in Computer Science / Electrical Engineering or related field

Tools

Python

Job description

Arm's Machine Learning group in Cambridge is hiring to analyse and improve ML/AI workloads on Arm hardware and software. You'll work on next-generation IP to optimise performance across Linux/Android devices and development boards.

You will create technical summaries for varied audiences and share insights across teams, joining a diverse, collaborative environment that values initiative and rigorous analysis.