NVIDIA · 1 week ago
Senior AI Infrastructure Engineer, Cloud Partnerships - DGX Cloud
NVIDIA is seeking a Senior AI Infrastructure Engineer to integrate third-party infrastructure partners into its operational excellence programs. This role focuses on developing frameworks for proactive management of infrastructure availability and requires collaboration with various teams to achieve operational excellence.
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
Qualification
Required
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
Preferred
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
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Recent News
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2026-01-12
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2026-01-12
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