Power and Performance Validation Engineer
On-siteAustin, Texas, United States
Job Summary
Define and execute validation strategies for power, thermal, and performance characterization of AI compute silicon and platforms across pre-silicon and post-silicon environments. Develop comprehensive validation plans covering functional, stress, and corner-case scenarios while driving benchmark workloads and parameter sweeps to identify optimization opportunities. Build scalable automation frameworks and regression infrastructure using Python, then collaborate with architecture, RTL, firmware, and systems teams to debug complex hardware-software interactions. Analyze power, thermal, and performance data to pinpoint bottlenecks and recommend improvements, ensuring products meet efficiency, reliability, and scalability expectations.
Required 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
- 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
Desired Qualifications
- 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
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