Evaluate, prototype, and validate emerging infrastructure, hardware, software, firmware, networking, storage, and accelerator technologies.
Support end-to-end system integration, bring-up, validation, and production-readiness activities across cross-functional engineering teams.
Define, document, and communicate engineering requirements, design tradeoffs, debug methods, findings, and recommendations.
Analyze workload, telemetry, performance, reliability, and operational data to identify issues and improvement opportunities.
Build or improve dashboards, automation, tools, and workflows that support issue detection, diagnosis, recovery, and technical decision-making.
Present technical work and communicate risks, blockers, status, and recommendations through design reviews, project readouts, and cross-functional forums.
What we need to see
Bachelor’s degree or Master’s degree or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, Data Science, Mathematics, Physics, or a related technical field.
Experience with software development or scripting in Linux, Bash, Python, C, C++, Java, Go, or similar technologies.
Ability to analyze technical data, identify patterns, summarize findings, and communicate conclusions clearly.
Interest in large-scale systems, AI infrastructure, datacenter systems, hardware/software integration, or distributed computing.
Strong collaboration and communication skills, with a willingness to ask questions, learn quickly, and work across engineering teams.
Ways to stand out from the crowd
Academic, internship, research, or project experience with distributed systems, HPC systems, AI clusters, datacenter infrastructure, or GPU-accelerated computing.
Experience with Linux systems, containers, Kubernetes, Slurm, networking, storage, cloud infrastructure, or on-prem infrastructure.
Experience analyzing logs, metrics, telemetry, workload data, performance regressions, or reliability issues.
Experience building dashboards, visualizations, automation, scripts, or lightweight tools used by others.
Experience with hardware/software integration, firmware/software lifecycle management, validation, production operations, or system troubleshooting.
Examples of clear technical storytelling, such as presentations, diagrams, demos, research posters, design reviews, or written technical summaries.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
- Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
- 108,000 USD – 178,250 USD for Level 1; and 124,000 USD – 195,500 USD for Level 2.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 6, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
