$224,000 – $356,500
Listed on NVIDIA’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role leads performance analysis and optimization of large-scale AI systems running on NVIDIA's DGX Cloud infrastructure, partnering with engineering teams to diagnose bottlenecks and drive efficiency improvements across compute, networking, and storage. It suits someone with deep systems knowledge who enjoys turning complex performance data into concrete engineering decisions.
Our summary, not NVIDIA’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- Bachelor's degree in computer science, computer engineering, or related field or equivalent experience
- 12+ years experience with strong programming in C++ and Python
- Solid foundation in operating systems, computer architecture, and distributed systems
- Experience with performance engineering, benchmarking, profiling, and optimization of complex systems
- Ability to communicate technical findings and prioritize high-impact work across teams
Nice to have
- Experience analyzing large-scale AI clusters or distributed training and inference workloads
- Experience with CUDA and GPU performance analysis
- Hands-on experience with deep learning frameworks like PyTorch or JAX/XLA
- Deep understanding of system-level performance analysis and workload characterization