Senior System Software Engineer - Datacenter Power Management

Company: Nvidia

Location: US, CA, Santa Clara (Remote)

Salary: $224k - $356.5k per year

Type: Full-time

Remote: Yes

Posted: 2026-10-23

About this role

NVIDIA is redefining accelerated computing and powering the next era of artificial intelligence. Our data-center platforms bring together GPUs, CPUs, networking, systems, and software to solve some of the world’s most exciting computing problems. We are looking for a Senior System Software Engineer to join NVIDIA’s Datacenter Performance and Power Management Software team. You will be responsible for architecting production software for datacenter power management controllers. Your work will also cover cluster- level dynamic provisioning and power-management control system technologies for next-generation data-centers.

You will work at the intersection of hardware architecture, embedded firmware, device drivers, operating systems, and AI workloads. Your responsibilities will span the entire product lifecycle—from initial architectural design and pre-silicon validation through silicon bring-up, productization, and deployment in extensive data-center infrastructures. This is an outstanding chance to influence how next-generation NVIDIA GPUs provide top-tier performance, energy efficiency, and reliability.

What You’ll Be Doing:

  • Architect, build, implement, and debug data center power and performance-management software, with particular emphasis on end-to-end power management at racks and data halls.
  • Develop real-time controllers, policies, and mechanisms that dynamically optimize performance, power, thermals, and energy efficiency under demanding data-center workloads.
  • Drive features across the full product lifecycle: requirements, architecture, implementation, pre-silicon validation, silicon bring-up, productization, and production support.
  • Collaborate with GPU architects and hardware designers to define hardware-software interfaces and influence the power-management capabilities of next-generation processors.
  • Analyze complex interactions among workloads, clocks, voltages, power limits, thermals, telemetry, and system-level policies.
  • Lead the invest...

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