NVIDIA
Principal Software Engineer, Rack-Scale System Software — CSP Engagements
$272K–$431K
US, CA, Santa Clara +3 · Principal · Full-time · Posted Oct 11, 2026
- Location
- US, CA, Santa Clara
US, TX, Austin
US, OR, Remote
US, CA, Remote - Experience
- 15+ years.
- Education
- BS or MS in Computer Science, Electrical Engineering, or related field (or equivalent experience).
About the job
Provides technical leadership for rack-scale system software and firmware across cloud service provider (CSP) engagements, supporting reliable fleet-scale deployment, monitoring, operation, and recovery.
What you'll do
- Align rack-scale software and firmware architecture with CSP teams, including fabric management, error handling, serviceability, and firmware orchestration.
- Lead technical work streams with CSP engineering teams and incorporate their operational feedback into architecture decisions.
- Identify cross-CSP issues and drive improvements to documentation, tooling, testing, and integration readiness.
What they ask for
- 15+ years of experience in system software, platform firmware, or large-scale distributed systems engineering.
- BS or MS in Computer Science, Electrical Engineering, or related field (or equivalent experience).
- Deep understanding of rack-scale software challenges, including coordination, error propagation, health monitoring, and serviceability/reliability.
- Experience with fabric management, cluster management, or system-level orchestration; familiarity with firmware architectures and update lifecycle management.
Nice to have
- Understanding of GPU or accelerator system software (drivers, device management, power management).
- Experience with NVIDIA NVSwitch, NVOS, or GPU fabric management software.
Pay
272,000 USD - 431,250 USD (base salary)
Tools
NVIDIA NVSwitch, NVOS, GPU, NVLink, NVIDIA InfiniBand, NVIDIA Grace CPUs, DGX, HGX
AI focus
The role focuses on rack-scale system software and firmware for GPU and AI/HPC systems; the posting also states NVIDIA uses AI tools in its recruiting processes.
Model-written summary · the original posting is authoritative