Simulation Infrastructure Engineer-GPU/DevOps/NVIDIA
Role purpose:
Build scalable infrastructure for simulation execution, experiment orchestration, dataset generation, artifact management, and engineering collaboration.
Key responsibilities:
- Provision and automate GPU-enabled simulation environments across workstations, data centers, or cloud.
- Create job orchestration, queues, scheduling, parallel execution, retries, and resource controls.
- Manage simulation inputs, outputs, logs, artifacts, versions, and reproducibility.
- Implement monitoring, capacity, cost, reliability, and failure-recovery mechanisms.
- Integrate infrastructure with Omniverse, repositories, CI/CD, scenario frameworks, and dataplatforms.
- Required experience and skills
- Platform, cloud, HPC, or DevOps engineering for GPU or simulation workloads.
- Containers, Linux, infrastructure as code, orchestration, storage, networking, and observability.
- Ability to diagnose performance bottlenecks across compute, GPU, I/O, and network.
- Preferred experience
- Kubernetes, Slurm, Ray, cloud batch, Terraform, Docker, NVIDIA GPU Operator, artifact stores, ordistributed simulation.