Principal System Software Engineer - Data Center MODS

2 Locationslead

Software EngineerSoftware Engineering

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Quick Summary

Key Responsibilities

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.

Requirements Summary

Bachelor's degree in Computer Science/Engineering, Electrical Engineering, or a related field (or equivalent experience).

Technical Tools

Software EngineerSoftware Engineering

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. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world!

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.

Responsibilities

~1 min read

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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.
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Mentor and grow engineering teams, providing technical leadership and encouraging a culture of innovation and excellence.
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Drive the root-cause analysis of systemic failures that intersect multiple hardware and software domains.
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Partner with CSPs to diagnose and address scalability challenges within their unique data center infrastructures.

Requirements

~2 min read

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

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 March 10, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.