Senior GPU Simulation Infrastructure Engineer

Grid Dynamics

Wrocław

Hybrid

PLN 180,000 - 340,000

Full time

2 days ago
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Benefits offered by this job

Medical insurance
Sports
Flexible schedule
Well-equipped office

Job summary

Grid Dynamics is seeking a Senior Simulation Infrastructure Engineer to own GPU infrastructure for a large autonomy simulation platform being migrated to NVIDIA Omniverse and Isaac Sim. You’ll collaborate with the pod’s engineers to run massive simulation campaigns reliably, focusing on GPU scheduling and scalable infrastructure.

The role emphasizes Kubernetes, containers, IaC, CI/CD, and observability to optimize performance and capacity planning for compute-heavy workloads across cloud and

Qualifications

  • Senior-level experience in DevOps, MLOps or infrastructure engineering for compute-heavy workloads.
  • Experience with GPU workloads scheduling, GitHub Actions and CI/CD tooling.
  • Proven ability to operate large-scale simulation or ML pipelines.
  • Cloud experience with AWS or Azure; Linux-based container orchestration.

Responsibilities

  • Own GPU compute, Kubernetes clusters, containers and pipelines for the simulation platform.
  • Run large simulation campaigns reliably and efficiently on GPU, including workload scheduling and optimization.
  • Automate provisioning and deployment with Terraform and CI/CD tools (GitHub Actions, Jenkins).
  • Set up observability: metrics, logs, tracing, and capacity planning for compute-heavy workloads.
  • Collaborate on shared CI/CD pipelines with the pod's build and platform tooling engineer.

Job description

Grid Dynamics is seeking a Senior Simulation Infrastructure Engineer to own GPU infrastructure for a large autonomy simulation platform being migrated to NVIDIA Omniverse and Isaac Sim. You’ll collaborate with the pod’s engineers to run massive simulation campaigns reliably, focusing on GPU scheduling and scalable infrastructure.

The role emphasizes Kubernetes, containers, IaC, CI/CD, and observability to optimize performance and capacity planning for compute-heavy workloads across cloud and

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