Graduate ML Hardware Power and Performance Engineer
ArmJob Title
Graduate ML Hardware Power and Performance Engineer
Role Summary
Entry-level engineering role within Arm's ML and Neural Network hardware team, focused on measuring, analysing and improving hardware power, performance and area for next-generation IP. You will work with cross-functional engineering teams and international centres to characterise workloads, diagnose bottlenecks, and propose hardware and build-level optimisations.
Experience Level
Entry-level (Graduate). Suitable for candidates on-track to complete or recently completed a university degree; prior professional experience is not required. Typical experience: 0–3 years.
Responsibilities
Work with experienced engineers to evaluate and improve ML hardware power and performance.
- Characterize workloads and measure hardware performance, power consumption, and area.
- Identify and investigate performance and power bottlenecks in hardware builds.
- Analyse how architectural and build choices affect power, performance and area.
- Develop scripts and tools to automate measurement and analysis workflows.
- Collaborate with design, verification and implementation teams to influence hardware decisions.
- Work across Arm international centres and teams on next-generation IP projects.
- Learn and apply methodologies for low-power and high-performance hardware design.
Requirements
Core attributes and skills expected for applicants. Degree requirements are summarized separately under Education Requirements.
- Must-have: Curiosity about programming and scripting; basic programming/scripting ability (for example Python) and interest in solving engineering problems.
- Must-have: Strong analytical skills and ability to understand complex systems; good written and verbal communication.
- Must-have: Willingness to learn new tools, technologies and methodologies; collaborative mindset.
- Nice-to-have: Familiarity with digital hardware description languages (SystemVerilog, VHDL) or basic digital hardware understanding.
- Nice-to-have: Basic knowledge of computer architecture and low-power build concepts.
- Nice-to-have: Experience with Python or other scripting languages and with physical implementation concepts (synthesis, place & route, static timing analysis).
- Nice-to-have: Familiarity with Machine Learning/AI fundamentals or interest in AI workflow tools.
Education Requirements
Candidates should hold, or be on track to hold by programme start, a Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field. An academic transcript is requested as part of the application materials. Equivalent practical experience is not listed explicitly; degree-on-track status is accepted for graduates.
About the Company
Company: Arm
Headquarters: Cambridge, United Kingdom
ARM is a global leader in semiconductor and software design, driving innovation in computing technology. The company specializes in designing processors and systems that provide the essential building blocks for electronic devices. ARM's architecture is widely used in smartphones, servers, and IoT devices, and its collaborative culture fosters bold thinking, diversity, and high-impact benefits for its talented workforce.
