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# System Software Engineer, Enterprise MODS

- **Company:** NVIDIA Corporation
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $224,000.0
- **Contract:** Permanent contract
- **Skills:** C (Programming Language), Microsoft Windows, ARM Architecture, BIOS, C++ (Programming Language), Data Centers, Linux, Microprocessors, Ethernet, Firmware, InfiniBand, Python (Programming Language), PCI Express, Systems Development Life Cycle, Software Tools, System Software, Graphics Processing Unit (GPU), Extensible Firmware Interface, Cloud Platform System, Hardware Testing, Information Technology, Programming Languages
- **Published:** October 12, 2026
- **Apply:** https://www.juju.com/job/1_ScrapingHub33470-JR2003636

## About the Role

What we need to see: + Proven experience architecting diagnostics for complex server systems, especially at the SW/HW interface. + Deep systems knowledge: x86/ARM architectures, Linux/Windows OS internals, firmware (UEFI/BIOS), BMC, and platform security. + Ability to weigh tradeoffs in system development and drive the most optimum solutions with customers and multi-disciplinary teams + Expertise in programming languages like C, C++, and Python for tool development and automation. + Familiarity with high-speed interconnects such as PCIe, Infiniband, NVLink, and Ethernet. + Strong communication skills to engage with technical and executive team. + BS/MS or equivalent experience in Computer Science, Electrical Engineering, or related field. + 12+ years of engineering experience in diagnostics, embedded systems, or cloud platforms.
Ways to stand out from the crowd: + Experience driving diagnostics across rack-level or cluster-level deployments. + Background in cloud-scale infrastructure and partner engagement. + Demonstrated success in influencing product direction and vendor roadmaps. + Passion for mentoring and building high-performing teams.

## Description

What You'll Be Doing: + Develop diagnostic systems for NVIDIA data center platforms, which involve hardware and software tools to develop the worst case stress workloads for CPUs, GPUs, memory, storage, and interconnects. + Lead platform bring-up and integration, ensuring diagnostics are embedded early and effectively across the server lifecycle. + Drive hardware validation strategy in collaboration with architecture and hardware teams, crafting robust validation plans for new server generations. + Analyze root causes of complex failures, acting as a Level 2 engineering contact for critical issues and offering scalable solutions across the stack. + Develop diagnostics software to ensure quality and performance at scale across ODM and partner production lines. + Mentor and grow engineering teams, providing technical leadership and encouraging a culture of innovation and excellence. + Influence the long-term strategy by developing diagnostic architecture and roadmaps for the