$184,000 – $287,500
Listed on NVIDIA’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
A senior infrastructure engineer would own end-to-end cloud pipelines for simulation validation, deploying GPU-backed services on NVIDIA Cloud Functions to scale from workstation testing to massive multi-GPU environments. This role suits someone with deep DevOps expertise who wants to architect distributed systems for AI-driven robotics simulation at scale.
Our summary, not NVIDIA’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- BS or MS in Computer Science, Computer Engineering, or related field or equivalent experience
- 8+ years of professional DevOps and/or cloud simulation experience
- Production-grade DevOps, SRE, or Infrastructure Engineering focused on GPU-backed cloud services
- Container orchestration with Kubernetes and Docker
- CI/CD pipeline development
- Automated testing frameworks, preferably with AI/ML inference or computer vision
- Python and systems scripting for test orchestration
- Design and maintenance of distributed job lifecycle services
- Diagnosis and resolution of distributed network bottlenecks including gRPC
Nice to have
- Direct experience deploying on NVIDIA Cloud Functions or DGX Cloud
- Deep familiarity with Isaac Sim, Omniverse, USD, or Sensor RTX workflows
- Robotics simulation, physical AI, or large-scale content creation pipeline background
- Self-healing or automated remediation workflow experience
- Cluster verification frameworks, stress testing, and deployment validation at scale