About The Position

Graphcore is a world leader in AI compute, developing hardware, software, and systems infrastructure to drive AI breakthroughs and adoption across industries. As part of SoftBank Group, Graphcore is committed to enabling Artificial Super Intelligence and making its benefits accessible to all. The company fosters a culture of continuous learning and innovation, with diverse teams of AI research specialists, silicon designers, software engineers, and systems architects. The Power and Performance Validation team, within Architecture and Validation, is responsible for validating the performance, efficiency, and thermal behavior of Graphcore's AI compute silicon and systems. This team supports the entire product lifecycle, from early architectural modeling to production readiness. Engineers collaborate globally to debug issues, optimize workloads, and enhance validation infrastructure and methodologies.

Requirements

  • Strong experience in power and performance validation, silicon characterization or system performance engineering
  • Deep understanding of modern SoC architecture, including CPU, memory, interconnect and high-speed I/O technologies
  • Strong Linux systems knowledge and low-level performance analysis experience
  • Strong Python programming skills for automation, orchestration and data analysis
  • Experience with benchmarking and profiling tools such as stress-ng, fio, perf, iperf or equivalent technologies
  • Experience debugging complex hardware and software interactions
  • Ability to define structured validation methodologies, workload models and test strategies
  • Strong analytical skills with the ability to interpret large datasets and identify system bottlenecks
  • Strong communication and cross-functional collaboration skills
  • Ability to work independently on complex technical tasks while collaborating effectively across teams

Nice To Haves

  • Experience with AI accelerator, GPU or high-performance compute architectures
  • Experience with pre-silicon modelling or simulation environments
  • Knowledge of power management technologies and silicon characterization methodologies
  • Programming experience in C/C++ for low-level system or benchmark development
  • Familiarity with hardware instrumentation and telemetry systems
  • Experience working with high core-count or large-scale compute systems
  • Experience contributing to shared validation infrastructure and engineering best practices

Responsibilities

  • Define validation strategies for power, thermal and performance characterization of AI compute silicon and platforms
  • Contribute to planning and execution of validation activities across multiple projects and milestones
  • Develop comprehensive validation plans covering functional, stress, workload and corner-case scenarios
  • Lead post-silicon bring-up and characterization activities for power and performance validation
  • Drive validation of CPU, memory, interconnect and high-speed I/O subsystems under complex workload conditions
  • Develop scalable automation frameworks, regression infrastructure and reporting tools using Python
  • Design and execute benchmark workloads, parameter sweeps and performance experiments to identify optimization opportunities
  • Collaborate with architecture, RTL, firmware, software and systems teams to debug and resolve complex technical issues
  • Define validation metrics, pass/fail criteria and reporting methodologies to ensure repeatable and high-quality analysis
  • Guide development of custom workload generators and micro-benchmarks where required
  • Analyse power, thermal and performance data to identify bottlenecks and recommend improvements
  • Contribute to continuous improvement of validation processes, tooling and engineering practices
  • Communicate technical findings, project status, risks and recommendations clearly to stakeholders and engineering leadership
  • Support knowledge sharing and contribute to continuous improvement across the validation organisation

Benefits

  • Competitive salary
  • Flexible working
  • Medical coverage
  • Dental coverage
  • Vision coverage
  • Flexible Spending Accounts (FSAs)
  • Health Savings Accounts (HSAs)
  • Disability insurance
  • Life insurance
  • 401(k) retirement plan
  • Commuter benefits
  • Wellness services
  • Employee Assistance Programme (EAP)
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