Graphcore
Power and Performance Validation Engineer
Austin, Texas, United States
Sponsorship not specifiedDetected 13 days ago
PythonC++LinuxData AnalysisProduct ManagementResearchLeadershipCommunicationCollaboration
About the role
- The role is responsible for leading power, thermal and performance validation activities across pre-silicon and post-silicon environments to ensure products meet efficiency, reliability and scalability expectations.
- The Power and Performance Validation team sits within the Architecture and Validation organisation and is responsible for validating the performance, efficiency and thermal behaviour of Graphcore silicon and systems.
Responsibilities
- Develop comprehensive validation plans covering functional, stress, workload and corner-case scenarios
- 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
- Support knowledge sharing and contribute to continuous improvement across the validation organisation
Requirements
- Guide development of custom workload generators and micro-benchmarks where required
- Experience with benchmarking and profiling tools such as stress-ng, fio, perf, iperf or equivalent technologies
- Experience with AI accelerator, GPU or high-performance compute architectures
- Experience with pre-silicon modelling or simulation environments
Compensation
- In addition to a competitive salary, Graphcore offers flexible working and a comprehensive benefits package designed to support your health, wellbeing and financial future.
Company info
- Graphcore is one of the world's leading innovators in Artificial Intelligence compute.
- It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.
- As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world's most transformative technologies.
- Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.
- Graphcore's teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives.
- A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.
- The team supports the full product lifecycle, from early architectural modelling through to first silicon bring-up, characterization and production readiness.
- Engineers work closely with cross-functional teams globally to debug complex issues, optimize workloads and continuously improve validation infrastructure and methodologies.
- and Duties
- Define and contribute 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
- Work autonomously on post-silicon bring-up and characterization activities for power and performance validation
- Define validation metrics, pass/fail criteria and reporting methodologies to ensure repeatable and high-quality analysis
- 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
- Candidate Profile
- 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
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This listing is sourced directly from Graphcore's careers page and normalized into a canonical job model.