We are seeking a AI Infrastructure Engineer to integrate third-party infrastructure partners into NVIDIA’s operational excellence programs. This cross-functional role is dedicated to developing foundational frameworks for the proactive management of availability across our diverse infrastructure through API integrations and process alignment. The ideal candidate should possess experience in delivering production infrastructure across various cloud providers, including hands-on experience in building and managing this infrastructure, as well as managing vendor relationships. You will partner with engineering, SRE, product, and third-party infrastructure providers to achieve operational excellence.
What you’ll be doing:
Architect unified systems for integrating infrastructure provider maintenance events into NVIDIA engineering systems
Drive the adoption of operational excellence best practices across all infrastructure providers, partnering with SRE, infra, product, and security teams
Define and operationalize governance models for engineering support engagements, infrastructure maintenance lifecycles, and incident escalation paths
Measure provider availability against projected maintenance schedules using Service Level Objectives (SLOs)
Collaborate with AI/ML teams to integrate intelligent automation into maintenance workflows, such as projecting job capacity impact based on scheduled resource availability and suggesting infrastructure reallocations for high-profile initiatives
Develop a long-term roadmap to guide infrastructure providers in progressively adopting best practices for reliability and production hygiene across existing and new product introductions
What we need to see:
8+ years of experience in infrastructure architecture, cloud native, or large-scale platform/reliability roles
Bachelor's degree or equivalent experience
Experience designing scalable, maintainable backend systems and writing clear design documentation
Strong understanding of multiple cloud infrastructure provider resource offerings
Demonstrated experience in normalizing and unifying diverse data sources from a variety of systems into broadly applicable schemas, enabling efficient querying and analysis
Proven ability to lead and influence cross-functional technical initiatives at scale across vendors and external partners, especially in reliability or platform domains
Demonstrated ability to design and implement maintainable APIs for internal and external customers
Proficiency in Kubernetes administration, modern CI/CD techniques and Infrastructure as Code (IaC)
Experience building resilient production systems using Golang, Python or Ruby
Ways to stand out from the crowd:
Proven experience in operating or architecting production systems across multiple cloud and bare-metal infrastructure providers.
Proficiency in data science tools such as Spark, Delta Lake, and Databricks.
Hands-on production experience with workflow engines like Temporal, Argo, or similar platforms for durable workflow execution.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you are creative and autonomous, we want 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.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
