Principal Systems At-Scale Engineer

NVIDIA • Santa Clara, CA

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About The Position

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.

Requirements

• 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.

Responsibilities

• 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 This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Number of Employees: 5,001-10,000 employees