About The Position
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.
Requirements
- 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
Nice To Haves
- 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.
Responsibilities
- 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
Benefits
- You will also be eligible for equity and benefits
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
