Engineer

• Design and build a comprehensive performance testing platform for evaluating LLM inference workloads across GPU clusters
• Define and implement the benchmarking methodology, metrics, and test suites that measure latency, throughput, memory utilization, power consumption, and model accuracy
• Establish baseline performance for unoptimized models (Llama 3.2 70B, DeepSeek, etc.) and validate post-optimization improvements
• Develop automated testing pipelines for continuous performance validation across compiler releases and model updates
• Investigate performance bottlenecks using profiling tools (ROCm profilers, GPU traces, system-level monitoring) and work with the compiler team to drive optimizations
• Create dashboards and reporting that provide clear visibility into performance trends, regressions, and wins
• Collaborate cross-functionally with compiler engineers, ML engineers, and DevOps to ensure performance testing is integrated into our development workflow
• Document best practices for performance testing and optimization of ML workloads on GPU hardware

Senior ML Performance Engineer

Human Factors Engineer I

Computing Engineer I

Hydraulic Structures Engineer

Senior Validation Engineer, High-Speed Interconnect

Senior Device Lab Engineer