NVIDIA
Senior Manager, Software Engineering - Rack Scale Systems Infrastructure
$248K–$391K
US, CA, Santa Clara +1 · Manager · Full-time · Posted Oct 12, 2026
- Location
- US, CA, Santa Clara
US, WA, Seattle - Experience
- 12 or more overall years of engineering experience, including a minimum of 6 years managing software or firmware engineering teams.
- Education
- Bachelor's, master's, or doctoral degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.
About the job
Leads engineering teams delivering rack-scale infrastructure software for control planes, lifecycle orchestration, system health, and recovery across customer deployments.
What you'll do
- Own delivery from requirements through production adoption and support, coordinating priorities, resources, dependencies, and risks.
- Guide technical decisions and establish planning, validation, release, and issue-triage practices for reliable software.
- Hire, mentor, and develop engineers and technical leaders; coordinate with partner teams and customers, including open-source delivery and support.
What they ask for
- Degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.
- 12 or more years of engineering experience in systems software, platform software, server firmware, or data center infrastructure, including at least 6 years managing software or firmware engineering teams.
- Track record delivering production software across multiple programs in a matrix organization.
- Technical background in Linux, distributed systems, APIs, state machines, and failure handling; software development experience in Go, C++, or Rust.
Nice to have
- Experience with rack-scale systems lifecycle; familiarity with NVIDIA GB200 or GB300 systems.
- Experience with Kubernetes controllers or operators, declarative control planes, simulation or fault injection, or relevant server-management technologies.
Pay
248,000 USD - 391,000 USD (base salary)
Tools
Linux, Go, C++, Rust, Kubernetes, OpenBMC, Python, Redfish
AI focus
NVIDIA uses AI tools in its recruiting processes. The role’s preferred qualifications include thoughtful use of artificial intelligence tools for development, testing, and debugging.
Model-written summary · the original posting is authoritative