Nvidia Senior Software Engineer AI Platform - Robotics 

United States, California 

68046424

What you’ll be doing:

• Architect, develop, and deploy backend services supporting NVIDIA GR00T using Kubernetes and cloud-native technologies.

• Collaborate with ML, simulation, and robotics engineers to deploy scalable, reproducible, and observable multi-node training and inference workflows.

• Extend and maintain OSMO’s orchestration layers to support heterogeneous compute backends and robotic data pipelines.

• Develop Helm charts, controllers, CRDs, and service mesh integrations to support secure and fault-tolerant system operation.

• Implement microservices written in Go or Python that power GR00T task execution, metadata tracking, and artifact delivery.

• Optimize job scheduling, storage access, and networking across hybrid and multi-cloud Kubernetes environments (e.g., OCI, Azure, on-prem).

• Build tooling that simplifies deployment, debugging, and scaling of robotics workloads.

What we need to see:

• BS, MS, or PhD degree in Computer Science, Electrical Engineering, Computer Engineering, or related field (or equivalent experience)

• 5+ years of work experience in DevOps, backend, or cloud infrastructure engineering.

• Hands-on experience building and deploying microservices in Kubernetes-native environments.

• Proficiency in Golang or Python, especially for backend systems and operators.

• Experience with Helm, or other Kubernetes templating and config management tools.

• Familiarity with GitOps workflows, observability stacks (e.g., Prometheus, Grafana), and container CI/CD pipelines.

• Strong understanding of container networking, storage (e.g., PVCs, ephemeral), and scheduling.

Ways to stand out from the crowd:

• Experience with ML training workflows, distributed job orchestration (e.g., MPI, Ray, Triton Inference Server).

• Knowledge of robotics frameworks (e.g., ROS2) or simulation tools (e.g., Isaac Sim, Omniverse).

• Background with GPU cluster management and scheduling across cloud providers.

• Contributions to open-source Kubernetes projects or customoperators/controllers.