- BS, MS or PhD in Computer Science or a related field (or equivalent experience), plus 12+ years of experience.
- Proven experience who has taken large systems from design through production.
- Strong experience with Kubernetes and/or Slurm at scale.
- Hands-on experience with PyTorch, TensorFlow, JAX or Ray.
- Strong understanding of NVIDIA GPUs and networking, including how they fail.
- Experience running production services, including CI/CD, monitoring, alerting and on-call.
Ways to Stand Out from the Crowd
- Hands-on experience with fault tolerance or checkpointing for large-scale distributed training on GPU supercomputers.
- Demonstrated experience building LLM-based agents or AI tools for performance analysis or troubleshooting.
- Background in building external services or maintaining open-source projects in ML infrastructure.
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: 224,000 USD – 356,500 USD for Level 5; and 272,000 USD – 431,250 USD for Level 6.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 10, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.