Job description

NVIDIA is advancing accelerated computing and artificial intelligence through technology that powers breakthroughs in graphics, robotics, and autonomous vehicles. Our private cloud team builds and operates infrastructure that supports software engineers across graphics, deep learning, autonomous vehicles, and Omniverse. The platform spans thousands of servers, processes millions of automated jobs each day, and manages petabytes of storage. Join us to solve distributed systems challenges, develop agentic infrastructure workflows, and improve the reliability and efficiency of services that accelerate engineering across NVIDIA. What you’ll be doing: • Design, build, and operate scalable cloud services for job execution, resource management, and storage. • Solve infrastructure challenges across Kubernetes, job scheduling, multi-region services, and automated recovery. • Develop agentic workflows that streamline infrastructure operations and reduce repetitive manual work. • Build observability, monitoring, and remediation capabilities to improve platform reliability and diagnose production issues. • Partner with engineering teams to understand customer needs and deliver solutions from concept through production. • Drive capacity planning, performance optimization, and production readiness as the platform grows. What we need to see: • Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or equivalent experience. • 8+ years of infrastructure development experience, including delivering scalable cloud solutions from concept to production. • Strong object-oriented programming skills in Java or Go. • Background in artificial intelligence, machine learning, and data analytics, with the ability to apply these techniques to infrastructure. • Ability to diagnose complex distributed systems issues and drive root-cause resolution. • Effective collaboration across engineering teams and time zones, with ownership of customer needs and production outcomes. Ways to stand out from the crowd: • A track record of operating large-scale distributed platforms and improving reliability, scalability, and operational efficiency. • Hands-on work with Kubernetes, container orchestration, and multi-cluster or multi-region environments. • Success building observability, alerting, and automated remediation systems that reduce operational toil. • Expertise in capacity planning, performance tuning, and preparing rapidly growing platforms for production. • Demonstrated ownership of ambiguous infrastructure challenges, from solution design through ongoing operation and continuous improvement. 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 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 October 17, 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.

Requirements

Must-haves

Design, build, and operate scalable cloud services for job execution, resource management, and storage.
Solve infrastructure challenges across Kubernetes, job scheduling, multi-region services, and automated recovery.
Develop agentic workflows that streamline infrastructure operations and reduce repetitive manual work.
Build observability, monitoring, and remediation capabilities to improve platform reliability and diagnose production issues.
Partner with engineering teams to understand customer needs and deliver solutions from concept through production.
Drive capacity planning, performance optimization, and production readiness as the platform grows.
Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or equivalent experience.
8+ years of infrastructure development experience, including delivering scalable cloud solutions from concept to production.
Strong object-oriented programming skills in Java or Go.
Background in artificial intelligence, machine learning, and data analytics, with the ability to apply these techniques to infrastructure.
Ability to diagnose complex distributed systems issues and drive root-cause resolution.
Effective collaboration across engineering teams and time zones, with ownership of customer needs and production outcomes.
A track record of operating large-scale distributed platforms and improving reliability, scalability, and operational efficiency.
Hands-on work with Kubernetes, container orchestration, and multi-cluster or multi-region environments.
Success building observability, alerting, and automated remediation systems that reduce operational toil.
Expertise in capacity planning, performance tuning, and preparing rapidly growing platforms for production.
Demonstrated ownership of ambiguous infrastructure challenges, from solution design through ongoing operation and continuous improvement.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until October 17, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

kubernetesjavagomachine learningai

Platform: eightfold
Effort: medium