GPU Simulation Infra Engineer | Cloud & HPC Automation

Veriipro; Irving (TX); On-site; USD 150,000 - 190,000; Full time

Job summary

Veriipro in Irving, TX is seeking an experienced Platform/DevOps engineer to design and operate GPU-enabled simulation infrastructure. You will build automated environments, orchestration systems, and scalable, reproducible workflows across hybrid data centers and cloud.

Key focus areas include performance tuning, monitoring, and secure, efficient resource management, with strong collaboration across software, simulation, and engineering teams.

Qualifications

• Experience in platform, cloud, HPC, or DevOps for GPU-intensive workloads.
• Strong knowledge of Linux, containers, infrastructure as code, and workload orchestration.
• Understanding of storage, networking, scheduling, and distributed computing.
• Experience with monitoring, observability, troubleshooting, and performance optimization.
• Ability to automate infrastructure provisioning, deployment, and workflows.

Responsibilities

• Provision and automate GPU-enabled simulation environments across workstations, data centers, and cloud platforms.
• Develop job orchestration systems with 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 recovery mechanisms.
• Integrate infrastructure with simulation platforms, repositories, CI/CD, and data platforms.
• Diagnose and optimize performance bottlenecks across CPU, GPU, storage I/O, and networks.
• Ensure infrastructure scalability, availability, security, and efficient resource use.

Skills

GPU-accelerated HPC

Linux systems

Containers

Infrastructure as code

Automation

Tools

Terraform

Docker

Kubernetes

NVIDIA GPU Operator

Slurm

Job description

Veriipro in Irving, TX is seeking an experienced Platform/DevOps engineer to design and operate GPU-enabled simulation infrastructure. You will build automated environments, orchestration systems, and scalable, reproducible workflows across hybrid data centers and cloud.

Key focus areas include performance tuning, monitoring, and secure, efficient resource management, with strong collaboration across software, simulation, and engineering teams.