NVIDIA
Senior Systems Performance Engineer
$136K–$259K
US, CA, Santa Clara +1 · Senior · Full-time · Posted Oct 28, 2026
- Location
- US, CA, Santa Clara
US, TX, Austin - Experience
- 5+ years of relevant experience in systems performance engineering, performance modeling, accelerated computing, or complex system development and debug.
- Education
- BS in Computer Engineering, Electrical Engineering, Computer Science, or a related field, or equivalent experience.
About the job
Develop and validate automated workloads, performance models, and test strategies for GPU-accelerated server products.
What you'll do
- Develop and tune GPU and AI workloads to stress hardware subsystems and expand validation coverage.
- Model and analyze system performance, design experiments, and investigate workload or hardware/software failures.
- Build automation for workload deployment, experiment execution, telemetry collection, and analysis.
What they ask for
- Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field, or equivalent experience.
- Deep understanding of computer architecture, including GPU and CPU execution, memory hierarchies, and interconnects.
- Experience developing performance models and validating predictions against system measurements.
- Hands-on AI workload profiling and tuning, strong Python and data analysis skills, and working knowledge of CUDA and GPU profiling tools.
Nice to have
- Experience with NVIDIA Dynamo, TensorRT-LLM, vLLM, SGLang, or NCCL.
- CUDA kernel development or optimization using cuBLAS, CUTLASS, or related libraries.
Pay
136,000 USD - 212,750 USD base salary (Level 3); 168,000 USD - 258,750 USD base salary (Level 4)
Tools
CUDA, PyTorch, TensorRT-LLM, vLLM, SGLang, Python, Linux, NVIDIA Dynamo
AI focus
Onboard, profile, tune, and validate AI training and inference workloads on new GPU platforms.
Model-written summary · the original posting is authoritative