$272,000 – $431,250
Listed on NVIDIA’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
NVIDIA seeks a principal-level engineer to bridge the company's performance teams and cloud service provider customers, ensuring their large-scale GPU deployments meet throughput targets and identifying systemic improvements across their platforms. The role suits someone with deep systems and GPU performance expertise who enjoys synthesizing feedback across organizations and driving optimization priorities.
Our summary, not NVIDIA’s wording. The full posting is on their site.
What they ask for
Required
- 15+ years systems performance engineering experience
- GPU/HPC/ML infrastructure background
- BS or MS in Computer Science, Computer Engineering, or equivalent
- GPU workload profiling expertise
- Understanding of distributed training performance dynamics
- Statistical methods for performance analysis
- Knowledge of full software stack performance impacts
- Data analysis and visualization skills
- Customer-focused mindset
- Ability to communicate findings to technical and executive audiences
- Demonstrated influence over multiple engineering teams
Nice to have
- Experience profiling and optimizing at 1000+ GPU scale
- ML infrastructure performance background at a CSP or hyperscaler
- Familiarity with NVIDIA platforms and profiling tools
- Experience building automated performance regression detection systems
- Understanding of inference workload performance dynamics