- BS degree in Computer Science, Computer Engineering, or a related field, or equivalent experience.
- 8+ years in SRE, production engineering, or infrastructure operations, including 3+ years running distributed object storage in production at petabyte scale or larger.
- Deep knowledge of object storage internals, including data placement, replication and erasure coding, consistency, and failure domains, along with S3 API semantics.
- Strong Linux skills on bare metal across storage, networking, and performance analysis.
- Diagnosing hardware faults at fleet scale and working with vendors to resolve them.
- Python and shell for automation, plus hands-on infrastructure as code with Ansible,) Git workflows, and CI/CD.
- Experience building observability with Prometheus and Grafana, defining SLOs, and writing clear postmortems, runbooks, and design docs.
Ways to stand out from the crowd
- Operating object storage at petabyte-to-exabyte scale, open-source or cloud, or contributing to open-source storage projects.
- Migrating petabytes between clusters or platforms without downtime.
- Serving AI/ML or HPC data pipelines from object storage, such as dataset streaming and checkpointing.
- Building AI-assisted tooling for operations work.
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 on the planet 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: 176,000 USD – 276,000 USD for Level 4; and 208,000 USD – 333,500 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.