Senior GPU Cloud Runtime & Release Engineer

NVIDIA Corporation; California; On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is hiring for roles across Runtime, Release Engineering, and Provider Integration to enhance the GPU cloud infrastructure. Build Go controllers, APIs, and validation pipelines to drive automated, scalable delivery of GPU cluster software across clouds and hardware.

Collaboration across teams is essential as we bring new silicon into production. The ideal candidate has 6+ years in production infrastructure or distributed systems, strong Go skills, and solid Kubernetes

Qualifications

• 6+ years building production infrastructure software or distributed systems.
• Strong Go programming skills and willingness to work primarily in Go.
• Kubernetes experience with controllers, operators, release automation, or cloud integration.
• Experience delivering engineering projects, diagnosing complex failures, and collaborating across teams.
• BS or MS in Computer Science, Engineering, or equivalent experience.

Responsibilities

• Runtime: Build Go controllers and APIs to install, upgrade, and validate GPU cluster software. Integrate components, define API contracts, and evolve Helm and Argo CD delivery toward controller-driven automation.
• Release Engineering: Build validation pipelines that inform release decisions across providers and GPU platforms. Develop systems to allocate GPU capacity across validation runs and account for cloud reservations and quotas.
• Provider Integration: Bring new providers and GPU hardware into production, potentially among the first engineers working with new silicon. Resolve integration failures with partner teams and turn initial provisioning, upgrade, and operational checks into repeatable automation.

Skills

Go programming

Kubernetes

Distributed systems

Education

BS/MS in CS/Engineering

Job description

NVIDIA Corporation is hiring for roles across Runtime, Release Engineering, and Provider Integration to enhance the GPU cloud infrastructure. Build Go controllers, APIs, and validation pipelines to drive automated, scalable delivery of GPU cluster software across clouds and hardware.

Collaboration across teams is essential as we bring new silicon into production. The ideal candidate has 6+ years in production infrastructure or distributed systems, strong Go skills, and solid Kubernetes