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Gpu Computing System Software Manager Jobs (NOW HIRING)

NVIDIA Corporation

$89K - $120K/yr

Work closely with product management and internal or external partners, to understand use cases and ... Contribute to the development of runtime systems that underlay the foundation of multi-GPU ...

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As of Sep 13, 2026, the average yearly pay for gpu computing system software manager in the United States is $155,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $147,500.00 and $162,500.00 per year, depending on experience, location, and employer.

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Infographic showing various Gpu Computing System Software Manager job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $155,000 per year, or $74.5 per hour.

Principal Software Engineer, Rack-Scale System Software - CSP Engagements

Santa Clara, CA • On-site

Nvidia Corporation
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidia Corporationexternal

$158K - $212K/yr

Full-time

Re-posted 16 days ago

Key responsibilities

  • Drive rack-scale SW/FW architecture alignment across CSP engagements, including fabric management software, link health monitoring, GPU/NVSwitch error handling, SW/FW serviceability features, and multi-component firmware orchestration

  • Drive technical work streams with CSP engineering teams on rack-scale system software, ensuring understanding of fabric management, error handling, recovery policies, health telemetry APIs, and recovery operations

  • Capture and synthesize CSP engineering feedback on system software and champion that feedback into architecture decisions

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

We're looking for a Principal Software Engineer to join our CSP Engagements team as the technical focal point for rack-scale system SW/FW, working with CSP engineering teams to ensure they can deploy, monitor, and operate these systems reliably at fleet scale. In this role, you will collaborate with NVIDIA's cross-functional rack-scale system SW/FW engineering teams with dedicated CSP-facing technical leadership. Your focus is on the system-level software that manages, monitors, and recovers the rack as a whole - fabric management, GPU/NVSwitch error handling and recovery, health telemetry APIs, firmware update orchestration, and SW-driven serviceability. You will drive work streams with CSP engineering teams to build shared understanding of the architecture, incorporate their operational feedback, and ensure integration readiness.
What you'll be doing:
  • Drive rack-scale SW/FW architecture alignment across CSP engagements - including fabric management software, link health monitoring, GPU/NVSwitch error handling, SW/FW serviceability features (e.g., hot-plug support, component isolation, firmware-driven recovery), and multi-component firmware orchestration
  • Drive technical work streams with CSP engineering teams on rack-scale system software - ensuring they deeply understand fabric management, NVSwitch behavior, error handling and recovery policies, health telemetry APIs, and SW/FW-controlled recovery operation
  • Capture and synthesize CSP engineering feedback on rack-scale system software - health monitoring APIs, SW-driven serviceability workflows, firmware update orchestration, and error recovery behavior - champion that feedback into NVIDIA's architecture decisions
  • Collaborate with multi-functional teams to ensure customer operational requirements are reflected in system software and firmware development
  • Identify cross-CSP patterns in rack-scale SW/FW issues, error handling behavior, and system configuration practices - drive documentation, tooling, and test strategy improvements as a result
  • Collaborate with execution teams on left-shift strategy - ensuring customer-side SW/FW integration work is identified early and completed ahead of hardware availability
  • Make critical technical decisions on rack-scale system SW/FW tradeoffs and mitigate execution risks through early engagement with CSP engineering teams

What we need to see:
  • 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 system software challenges: multi-component coordination, error propagation, health monitoring, and serviceability / reliability
  • Experience with fabric management software, cluster management, or system-level orchestration frameworks. Familiarity with firmware architectures and update lifecycle management (multi-component update sequencing, rollback, recovery)
  • Understanding of error handling and recovery design patterns in distributed systems - fault isolation, retry policies, graceful degradation
  • Experience with health monitoring and telemetry systems: health scoring, event correlation, API design for fleet-level observability
  • Understanding of GPU or accelerator system software (drivers, device management, power management) is a strong plus
  • Customer obsession - genuine passion for understanding how CSPs operate sophisticated systems at fleet scale and simplifying their experience
  • Proven success providing technical leadership across organizational boundaries and influencing system software design without direct authority. Strong communication - ability to translate complex system software architecture into actionable mentorship for customer engineering teams

Ways to stand out from the crowd:
  • Experience with NVIDIA NVSwitch, NVOS, or GPU fabric management software
  • Background in system software for large-scale clusters at a hyperscaler (cluster management, fleet orchestration, health platforms)
  • Experience crafting error handling and recovery frameworks for multi-component systems (hundreds or thousands of coordinating devices)
  • Familiarity with GPU or accelerator fleet operations - driver lifecycle, firmware rollout strategies, health-based scheduling
  • Understanding of how system software decisions impact serviceability, availability, and operational cost at fleet scale

NVIDIA's invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company." We're looking to grow our company and establish teams with the most thoughtful people in the world. Are you ready to change the next generation of computing? Join us at the forefront of technological advancement.
NVIDIA data center systems, such as DGX and HGX, have become core to NVIDIA's rapidly growing enterprise and cloud provider businesses. These platforms bring together the full power of NVIDIA GPUs, NVIDIA NVLink, NVIDIA InfiniBand networking, NVIDIA Grace CPUs, and a fully optimized NVIDIA AI and HPC software stack.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 10, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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Hours and flexibility

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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