- 12+ years total experience.
- 5+ years in product management, solutions architecture, software engineering, or site reliability engineering on technical infrastructure products. Technical depth on GPU or AI infra is required.
- Familiarity with GPU failure modes: XID codes, ECC correctable and uncorrectable errors, DCGM metrics, NVLink and PCIe health signals.
- Technical understanding of why AI workloads fail: GPU hardware failure modes, distributed training failure patterns (NCCL timeouts, framework errors, hardware vs. system software vs. application fault distinction), and the telemetry systems (DCGM, sysfs, dmesg) that surface these signals.
- Demonstrated ability to work with senior technical customers and translate operational requirements into product decisions.
- Strong written and verbal communication across technical and non-technical audiences.
- Bachelor's degree in Computer Science or equivalent experience.
Ways To Stand Out From The Crowd
- Former SRE or infra engineer on GPU clusters. You have triaged job failures, parsed XID logs, and understand the cross-team deep dives that happen when a multi-thousand-GPU training run fails.
- Deep familiarity with GPU scheduling, topology-aware placement, or multi-tenant GPU cluster management: Slurm prolog/epilog, Kueue, or Kubernetes-native scheduler environments.
- Experience building products that produce structured diagnostics or attribution output: health verdict schemas, log analysis pipelines, rules-engine systems, or observability APIs at data center scale.
- Practical experience delivering or contributing to an open-source infrastructure project, including managing contributor engagement on GitHub.
NVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the world's most forward-thinking and hardworking people on our team. 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: 208,000 USD – 327,750 USD for Level 5; and 240,000 USD – 379,500 USD for Level 6.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 7, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.