AI Platform Engineer

Merck · Prague, Czechia

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IT & SoftwareFull-timeCompany career page

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Role summary

Merck seeks an AI Platform Engineer to manage on-premise GPU/HPC infrastructure, deploy AI workloads using Slurm and containers, and support research computing environments. The role involves infrastructure automation, performance optimization, and collaboration with scientists across multiple regions.

What they're looking for

3+ years software or infrastructure engineering experience, with 1+ years on AI platforms or GPU environments
Enterprise Linux administration, CI/CD pipelines, and Infrastructure as Code (Terraform, Ansible)
Docker containerization and Slurm job scheduler experience in HPC or scientific computing
GPU cluster experience with NVIDIA drivers, CUDA/cuDNN/NCCL, and NVIDIA Container Toolkit
Python programming and DevOps fundamentals with Git version control
Experience monitoring and troubleshooting distributed systems and compute clusters
Strong communication skills and cross-timezone collaboration capability

What you'll be doing

Manage and automate on-premise AI and HPC infrastructure with focus on GPU servers and clusters
Deploy, orchestrate, and manage AI training and inference workloads using Slurm, Nvidia Triton, and Docker
Implement performance tuning, capacity tracking, and cluster scaling to ensure reliable researcher services
Maintain monitoring, dashboards, logging, and alerting systems for critical infrastructure components
Collaborate with researchers to translate workflow requirements into robust infrastructure solutions

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Date posted2 days ago

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