Simulation Infrastructure Engineer

Irving, TX, US • Posted 5 days ago • Updated 19 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • ProVision
  • Data Centers
  • Resource Allocation
  • Management
  • Capacity Management
  • Recovery
  • CPU
  • Storage
  • Network
  • Scalability
  • HPC
  • DevOps
  • Linux
  • Orchestration
  • Data Storage
  • Computer Networking
  • Scheduling
  • Distributed Computing
  • Performance Tuning
  • Provisioning
  • Workflow
  • Kubernetes
  • Cloud Computing
  • Terraform
  • Docker
  • GPU
  • Data Management
  • Automated Testing
  • Continuous Integration
  • Continuous Delivery
  • Infrastructure Architecture
  • Performance Analysis
  • Optimization
  • Collaboration

Summary

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: orcfeed
  • Position Id: 24116_-2557641682997368532
  • Posted 5 days ago
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