Simulation Infrastructure Engineer-GPU/DevOps/NVIDIA
- Source: LinkedIn
- Envision Technology Solutions
- Remote
- Irving
- Full-Time
- Mid level
Job Description
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.
Skills
- nvidia
- Kubernetes
- Terraform
- Docker
- nvidia-gpu
