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NVIDIA

Senior Infrastructure Engineer – Bazel Remote Execution

Posted 10 Days Ago
In-Office or Remote
Hiring Remotely in Santa Clara, CA
184K-357K Annually
Senior level
In-Office or Remote
Hiring Remotely in Santa Clara, CA
184K-357K Annually
Senior level
Design and build highly scalable private cloud infrastructure to run millions of jobs across thousands of servers. Solve challenges in Kubernetes, job scheduling, multi-region services, resource management, and automated recovery. Collaborate with internal customers, create agentic workflows, and productionize solutions to improve engineering efficiency.
The summary above was generated by AI

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. As part of this role you will be working on a powerful private cloud system that supports various teams across NVIDIA. Imagine scaling cloud services to run on thousands of servers and handling millions of automated jobs every day, improving the efficiency of NVIDIA's software engineers worldwide. We collaborate with teams such as Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence, Autonomous Vehicles, and Omniverse!
What you'll be doing:

  • Craft creative scalable cloud solutions for running millions of jobs, thousands of systems, and petabytes of storage.

  • Address exciting challenges in infrastructure such as Kubernetes, job scheduling, multi-region services, resource management, and automated recovery.

  • Create agentic workflows for infrastructure

  • Collaborate with customers to understand their needs and develop innovative solutions that cater to their requirements.

What we need to see:

  • Proven experience in developing scalable cloud infrastructure solutions from concept to production.

  • Background in AI/ML, Data Analytics, and their application in infrastructure.

  • Strong background in object-oriented programming, with a preference for Java or Go.

  • Ability to collaborate optimally across multiple teams and different time zones.

  • Bachelor's degree or equivalent experience.

  • 8+ years of experience in infrastructure development.

Ways to stand out from the crowd:

  • Strong hands-on experience with Bazel Remote Execution (Buildbarn, Buildfarm, or similar).

  • Expertise in crafting and scaling microservices and deploying them on Kubernetes clusters.

  • Built robust distributed systems for heterogeneous platforms.

  • Experience working in infrastructure or on hardware systems

  • Solid programming skills in Golang (preferred) and/or Java

Come and work with us at NVIDIA where we have the most resourceful and dedicated people in the world to advance Artificial Intelligence. If you are passionate about infrastructure, we'd love to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 19, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

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