NVIDIA
Senior Performance Engineer - DGX Cloud
$224K–$431K
US, CA, Santa Clara +4 · Senior · Full-time · Posted Sep 29, 2026
- Location
- US, CA, Santa Clara
US, TX, Austin
US, OR, Remote
US, WA, Remote
US, WA, Redmond - Experience
- 12+ years; the posting does not specify an alternative.
- Education
- BS or higher degree in computer science, computer engineering, or a related field (or equivalent experience).
About the job
Analyzes and optimizes end-to-end performance, efficiency, and reliability of large-scale AI workloads on DGX Cloud.
What you'll do
- Characterize workloads, establish benchmarks and baselines, and diagnose bottlenecks or regressions.
- Use profiling, observability, and data analysis to develop optimization plans and validate improvements.
- Partner with engineering and architecture teams, and communicate findings to guide system and software decisions.
What they ask for
- BS or higher in computer science, computer engineering, or a related field, or equivalent experience.
- Strong C++ and Python programming skills to build analysis and automation workflows.
- Solid foundation in operating systems, computer architecture, and distributed systems.
- Experience with performance engineering, benchmarking, profiling, and optimization of complex software or systems.
Nice to have
- Experience analyzing large-scale AI clusters or distributed training and inference workloads.
- Experience with CUDA, GPU computing and performance analysis, or deep learning frameworks such as PyTorch or JAX/XLA.
Pay
224,000 USD - 356,500 USD (base salary, Level 5); 272,000 USD - 431,250 USD (base salary, Level 6)
Tools
C++, Python, CUDA, PyTorch, JAX/XLA
AI focus
Improves performance, efficiency, and reliability of large-scale AI workloads, including distributed training and inference.
Model-written summary · the original posting is authoritative