- Bachelor’s or Master’s degree in Engineering or equivalent experience, ideally in Electrical, Computer Engineering, or Computer Science
- 8+ years of experience in computer architecture, networking, storage systems, and accelerator‑based platforms
- Expertise in Kubernetes and familiarity with the broader CNCF ecosystem
- Deep experience with large‑scale, parallel, distributed accelerator systems and performance optimization of AI workloads
- Experience with performance modeling and benchmarking for large‑scale systems
- Proficiency in Golang and/or Python
- Strong familiarity with the NVIDIA software stack across training and inference
- Expertise with at least one major public cloud provider (for example, AWS, Azure, GCP, or OCI)
Ways to stand out from the crowd
- Strong operational experience with any one of the Kubernetes distributions
- Prior experience scaling Kubernetes clusters to ultra-large node and object counts
- Demonstrated history of working in the open-source community
- Excellent communication and interpersonal abilities
- PhD or equivalent experience in relevant areas
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.