Role at a glance
- Salary
- Not Disclosed
- Location
- 2 Locations, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 15+ years of system software experience working on highly resilient distributed systems with programming experience in C++ or Python.
- Education
- Bachelor's degree in Computer Science/Engineering, Electrical Engineering, or a related field (or equivalent experience).
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Qualifications
Requires 15+ years of system software experience with highly resilient distributed systems and programming experience in C++ or Python. Requires deep knowledge of x86/ARM architectures, Linux internals, UEFI/BIOS firmware, Redfish, HMC, BMC protocols, and platform security; a track record of technical leadership and expertise in software testing methodologies with an automation-led, AI-first approach.
About the role
Original posting provided by NVIDIA
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.
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.
What we need to see:
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
You will also be eligible for equity and benefits.
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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.