- Strong source-level expertise in Kubernetes internals (scheduler, CRI/CNI/CSI, operators) and Slurm (federation, power-save, plugins).
- Hands-on experience integrating next-gen GPUs (Blackwell/GB200/GB300) or comparable accelerators into containerized clusters.
- Proven track record debugging large-scale, cloud-native stacks across networking (RDMA/RoCE), storage, and control planes.
- Customer-facing engineering or solutions-architect background: requirements gathering, PoC ownership, roadmap influence.
- Familiarity with CI/CD (GitHub Actions, Tekton), observability (Prometheus, OpenTelemetry), and infrastructure-as-code.
- Excellent communication-able to switch between deep technical detail and high-level business impact.
- 10+ years of professional software development experience in distributed systems (Go, Rust, C/C++ or Python for tooling).
- BS or MS (or equivalent experience) in Computer Engineering, Computer Science, or related field.
Ways to stand out from the crowd
- Upstream contributions to Kubernetes, Slurm, Volcano, or similar projects.
- Experience with GPU computing (CUDA), deep learning workloads
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hard-working people in the world working for us. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, hardworking and self-motivated, 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: 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.