Hybrid Power Modelling Engineer for SoC & IP

Arm; Cambridge; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading technology firm in Cambridge is looking for experienced engineers to join their Power Attainment team. The role focuses on developing scalable power models and optimising performance for next-generation solutions. Ideal candidates will have strong programming skills in Python or C++, and experience in low-power architecture and power management. This position offers a hybrid working arrangement and opportunities for impactful contributions in the AI landscape.

Qualifications

• Experience in power analysis, modelling, or transferable skills from verification, SW, emulation, or design.
• Familiarity with database design and management (SQL/NoSQL).
• Background in machine learning or data analytics for modelling and prediction.

Responsibilities

• Analysing and optimising performance per watt using innovative technologies.
• Developing scalable power models for IPs and SOCs.
• Creating tooling for power and performance estimation.

Skills

Strong programming skills in Python and/or C++

System-level power modelling and performance/power trade-offs

Experience with low-power architecture, power optimisation, and power management

Proven track record working with data-driven modelling frameworks

Excellent problem-solving, debugging, and interpersonal skills

Tools

CI/CD pipeline automation (e.g., Jenkins, GitLab CI)

Power estimation and analysis tools (e.g., PowerArtist, PrimePower, PowerPro, Joules)

Job description

A leading technology firm in Cambridge is looking for experienced engineers to join their Power Attainment team. The role focuses on developing scalable power models and optimising performance for next-generation solutions. Ideal candidates will have strong programming skills in Python or C++, and experience in low-power architecture and power management. This position offers a hybrid working arrangement and opportunities for impactful contributions in the AI landscape.