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# Principal System Software Engineer - Data Center MODS

- **Company:** NVIDIA Corporation
- **Location:** Santa Clara, CA, United States
- **Salary:** $272,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, ARM Architecture, BIOS, C++ (Programming Language), Software Quality, Computer Programming, Data Centers, Linux, Microprocessors, Distributed Systems, Firmware, Python (Programming Language), Cloud Services, System Software, Strategies of Testing, Graphics Processing Unit (GPU), Extensible Firmware Interface, Cloud Platform System, Information Technology
- **Published:** October 31, 2026
- **Apply:** https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Principal-System-Software-Engineer---Data-Center-MODS_JR2014384

## About the Role

* Bachelor's degree in Computer Science/Engineering, Electrical Engineering, or a related field (or equivalent experience).
 * 15+ years of system software experience working on highly resilient distributed systems with programming experience in C++ or Python.
 * Deep systems knowledge of x86/ARM architectures, Linux OS internals, firmware (UEFI/BIOS), Redfish, HMC, BMC protocols and platform security.
 * Consistent track record demonstrating technical leadership leading project teams and setting technical direction.
 * Expertise in software testing methodologies with an automation-led, AI-first approach to ensuring software quality

## Description

The Data Center MODS organization seeks a Principal Engineer to architect and scale next-generation L10 and L11 diagnostic systems for Cloud Service Providers (CSPs). In this high-impact role, you will define the technical roadmap and lead multi-functional development to deploy robust diagnostic frameworks for AI accelerator products. Proficiency in distributed systems and hardware / software interfaces is essential for success.

What you'll be doing:

 * Define technical strategy and development of NVIDIA's Data Center diagnostic systems, orchestrating large-scale stress testing for CPUs, GPUs, networking, memory, and high-speed interconnects.
 * Mentor and grow engineering teams, providing technical leadership and encouraging a culture of innovation and excellence.
 * Drive the root-cause analysis of systemic failures that intersect multiple hardware and software domains.
 * Partner with CSPs to diagnose and address scalability challenges within their unique data center infrastructures.