Simulation Infrastructure Engineer

Veriipro; Irving (TX); Presencial; USD 150.000 - 190.000; Jornada completa

Descripción de la vacante

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.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

GPU-accelerated HPC

Linux systems

Containers

Infrastructure as code

Automation

Herramientas

Terraform

Docker

Kubernetes

NVIDIA GPU Operator

Slurm

Descripción del empleo

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.