Senior Datacenter Automation Engineer (Hybrid, Equity)

NVIDIA Corporation; Santa Clara (CA); Hybrid; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is seeking engineers to help build platforms powering AI workflows at scale. You will drive roadmaps, architecture, and multi-team alignment to deliver reusable platform capabilities and SDKs that accelerate adoption across the organization.

You will define contracts, enable automation with Kubernetes and schedulers, and mentor engineers while shaping resilient distributed systems and secure agentic solutions.

Qualifications

• 8+ years of experience in software engineering.
• BS in Computer Science, Engineering, Physics, Mathematics, or comparable field (or equivalent).
• Expert level knowledge of Go, Python, or Rust and data structures/algorithms.
• Strong Linux system administration and management background.
• Experience with Kubernetes and SLURM orchestration.
• Understanding of agents, security practices for agentic systems.

Responsibilities

• Build self-service SDKs, workflow templates, reference implementations, and a catalog of reusable agents, tools, and connectors.
• Translate operational intent into versioned, testable policies with triggers and prerequisites.
• Define common contracts for tools, state, events and execution; guide migrations to shared services.
• Build agents that correlate diagnostics and incident history to remediation plans.
• Automate provisioning validation, node quarantine, maintenance, and return to service; integrate with Kubernetes and schedulers.
• Tackle fleet-scale problems like partial failures, noisy telemetry, and control-plane bottlenecks.
• Establish CI/CD, observability, and cross-team rollout capabilities.
• Drive cross-team adoption through reviews, migration plans, and documentation.

Skills

Go

Python

Rust

Education

BS in Computer Science or related field

Tools

Kubernetes

SLURM

Job description

NVIDIA Corporation is seeking engineers to help build platforms powering AI workflows at scale. You will drive roadmaps, architecture, and multi-team alignment to deliver reusable platform capabilities and SDKs that accelerate adoption across the organization.

You will define contracts, enable automation with Kubernetes and schedulers, and mentor engineers while shaping resilient distributed systems and secure agentic solutions.