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.

Key Competencies

• Infrastructure architecture and automation.

• Performance analysis and troubleshooting.

• Resource optimization and operational reliability.

• Collaboration across software, simulation, and engineering teams.