Simulation Infrastructure Engineer

Exp. Required: 8+ Year’s

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 data

platforms.

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, or

distributed simulation.