Senior Power and Performance Validation Engineer

EngineersOfAI; Austin (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

EngineersOfAI, based in Austin, Texas, is seeking a Power and Performance Validation Lead. This role involves driving validation strategies and ensuring products meet performance and reliability expectations in AI computing environments.

The successful candidate will collaborate with multiple engineering disciplines, develop comprehensive validation plans, and communicate findings clearly. Strong expertise in validation, SoC architecture, and Python programming is essential.

Qualifications

• 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.

Responsibilities

• Define validation strategies for power, thermal and performance characterization of AI compute silicon.
• Collaborate with architecture, RTL, firmware, software and systems teams to debug complex issues.
• Communicate technical findings and project status clearly to stakeholders.

Skills

Power and performance validation

Silicon characterization

Linux systems knowledge

Python programming

Benchmarking tools

Job description

Job Summary

Reporting to senior leadership within Architecture and Validation, the Power and Performance Validation Lead will drive validation strategy and execution for advanced AI compute silicon and systems.

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.

This role requires strong technical expertise and collaboration across multiple engineering disciplines to deliver robust validation methodologies, scalable automation frameworks and actionable performance insights.

Responsibilities and Duties

• 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

Candidate Profile

Essential:

• 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