Simulation Infrastructure Engineer

Key Responsibilities: Provision and automate GPU-enabled simulation environments across workstations, data centers, and cloud platforms. Develop job orchestration systems supporting scheduling, queuing, parallel execution, retries, and resource allocation. Manage simulation inputs, outputs, logs, artifacts, versioning, and reproducibility. Implement monitoring, capacity planning, cost optimization, reliability, and failure-recovery mechanisms. Integrate simulation infrastructure with simulation platforms, source code repositories, CI/CD pipelines, scenario frameworks, and data platforms. Diagnose and optimize performance bottlenecks across CPU, GPU, storage I/O, and network resources. Ensure infrastructure scalability, availability, security, and efficient resource utilization. Required Experience and Skills Experience in platform, cloud, HPC, or DevOps engineering for GPU-intensive or simulation workloads. Strong knowledge of Linux systems, containers, infrastructure as code, and workload orchestration. Understanding of storage systems, networking, resource scheduling, and distributed computing. Experience with monitoring, observability, troubleshooting, and performance optimization. Ability to automate infrastructure provisioning, deployment, and operational workflows. Preferred Experience Familiarity with Kubernetes, Slurm, Ray, or cloud-based batch computing. Experience with Terraform, Docker, or NVIDIA GPU Operator. Knowledge of artifact repositories, simulation data management, and distributed simulation execution. Experience integrating infrastructure with automated testing and CI/CD pipelines.

Performance analysis and troubleshooting. Resource optimization and operational reliability. Collaboration across software, simulation, and engineering teams.