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.
Join NVIDIA, a world-class leader in computer graphics, AI, and GPU computing, where innovation and outstanding talent drive groundbreaking progress. As a Principal Systems At-Scale Engineer in Santa Clara, CA, you will work with pioneering technologies. Collaborate with a team of visionary professionals to build, deploy, and optimize large-scale data center clusters and applications. This role offers an outstanding opportunity to employ the latest accelerated computing and deep learning platforms to make a lasting impact on the world.
What you'll be doing:
Deploy strategies to analyze and collect debugging and anomaly signals from large fleets of clusters to improve quality and experience.
Build and expand debugging tools to identify, diagnose, and recover out-of-service systems, growing customer-available capacity.
Author and deploy "fault signatures" and automated recovery rules.
Lead cross-team task forces to address undefined failure modes in high-value AI/GPU systems, cutting backlogs through data-driven isolation.
Leverage AI, analytics, and efficiency tools to scale debug efforts, turning manual triage into productized, automated code.
Act as a technical leader and cultural anchor. Mentor junior and senior engineers. Encourage organizational health initiatives. Promote innovation through hackathons and sharing sessions.
What we need to see:
15+ years of experience in systems debugging at scale and debugging components of large fleets.
BS/MS Computer Science or related field (or equivalent experience)
Proven understanding of performance clusters, infrastructure, and workload patterns.
Knowledge and experience with telemetry and at-scale analytics for large platforms.
Experience using and installing fleets of Linux-based server platforms.
C/Python/Bash/Lua programming/scripting experience.
Experience working with engineering or academic research community supporting performance engineering or deep learning.
Strong teamwork and both verbal and written communication skills.
This is your opportunity to join a group that turns AI and GPU computing into groundbreaking innovations!
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
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 29, 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.#deeplearning
