Job description

Role purpose Build scalable infrastructure for simulation execution, experiment orchestration, dataset generation, artifact management, and engineering collaboration. Key responsibilities • Provision and automate GPU-enabled simulation environments across workstations, data centers, or cloud. • Create job orchestration, queues, scheduling, parallel execution, retries, and resource controls. • Manage simulation inputs, outputs, logs, artifacts, versions, and reproducibility. • Implement monitoring, capacity, cost, reliability, and failure-recovery mechanisms. • Integrate infrastructure with Omniverse, repositories, CI/CD, scenario frameworks, and data platforms. Required experience and skills • Platform, cloud, HPC, or DevOps engineering for GPU or simulation workloads. • Containers, Linux, infrastructure as code, orchestration, storage, networking, and observability. • Ability to diagnose performance bottlenecks across compute, GPU, I/O, and network. Preferred experience Kubernetes, Slurm, Ray, cloud batch, Terraform, Docker, NVIDIA GPU Operator, artifact stores, or distributed simulation. Salary Range: $90,000 - $150,000 per year TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Requirements

Must-haves

Role purpose
Build scalable infrastructure for simulation execution, experiment orchestration, dataset generation,
artifact management, and engineering collaboration.
Provision and automate GPU-enabled simulation environments across workstations, data centers,
Create job orchestration, queues, scheduling, parallel execution, retries, and resource controls.
Manage simulation inputs, outputs, logs, artifacts, versions, and reproducibility.
Implement monitoring, capacity, cost, reliability, and failure-recovery mechanisms.
Integrate infrastructure with Omniverse, repositories, CI/CD, scenario frameworks, and data
Required experience and skills
Platform, cloud, HPC, or DevOps engineering for GPU or simulation workloads.
Containers, Linux, infrastructure as code, orchestration, storage, networking, and observability.
Ability to diagnose performance bottlenecks across compute, GPU, I/O, and network.
Discretionary Annual Incentive.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Time Off: Vacation, Time Off, Sick Leave & Holidays.

Nice-to-haves

Kubernetes, Slurm, Ray, cloud batch, Terraform, Docker, NVIDIA GPU Operator, artifact stores, or
distributed simulation.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

ci/cdkubernetesdocker

Platform: careers-page
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Parental Leave