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Power Modelling Engineer

Job in Sheffield, South Yorkshire, S5, England, UK
Listing for: Arm
Full Time position
Listed on 2026-01-02
Job specializations:
  • Engineering
    Systems Engineer, Software Engineer
Job Description & How to Apply Below
Position: Staff Power Modelling Engineer

Join to apply for the Staff Power Modelling Engineer role at Arm

Are you passionate about shaping the future of chip design? In the Solutions Engineering group at Arm, we offer the outstanding opportunity to join our Power Attainment team in a dynamic and diverse role!

Arm is establishing teams to develop new and best-in-class silicon platforms, addressing markets such as premium mobile, compute, IoT, AI/ML server, and automotive. Arm’s ambition is to demonstrate efficient performance by architecting, implementing, and fabricating pioneering silicon using the latest SoC process nodes and packaging technologies. This is a unique initiative, where we are driving how the next generation of leading compute devices are built across the industry.

Join Arm to be part of the solution.

Responsibilities
  • Join a highly focused team where we analyse and optimise the performance per watt of our next generation solutions using innovative technologies, methodologies, and tools. This will involve simulation, emulation, modelling, and collaboration with cross-functional teams in design, verification, architecture, SW, and pre and post silicon test.
  • You will build and innovate new processes along the way. We want your talents applied not only to ensuring customer requirements in PPA are measured and analysed but also understood and creatively exceeded. This includes:
    • Developing scalable power models for IPs and SOCs
    • Creating and maintaining the tooling and automation for use-case power and perf/watt estimation and architecture exploration
Required Skills and Experience
  • 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
Nice To Have Skills and Experience
  • Experience with CI/CD pipeline automation (e.g., Jenkins, Git Lab CI)
  • Knowledge of database design and management (SQL/No

    SQL)
  • Familiarity with power estimation and analysis tools (e.g., Power Artist, Prime Power, Power Pro, Joules)
  • Background in machine learning or data analytics for modelling and prediction
  • Knowledge of hardware/software co-design, system modelling, or architecture exploration
Accommodations at Arm

At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email  All accommodation or adjustment requests will be treated with confidentiality and disclosed only as necessary to provide the accommodation. Examples of support include breaks between interviews, having documents read aloud, or office accessibility.

Hybrid Working at Arm

Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. Within that framework, we empower groups/teams to determine their own hybrid working patterns. Details for each role will be shared upon application. In some cases, flexibility may be limited by local considerations, and we will collaborate to find the best solution.

Equal

Opportunities at Arm

Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Seniority level
  • Associate
Employment type
  • Full-time
Job function
  • Engineering and Information Technology
Industries
  • Semiconductor Manufacturing
  • Software Development
  • Computer Hardware Manufacturing
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