GPU Infrastructure Engineer
EU engineers, ready to place with your US clients
Pre-screened on AI. Remote B2B contracts. View 5 full profiles free — AI score, skills report, interview questions included.
About This Role
Requirements
- Demonstrate 4+ years of experience with GPU infrastructure, CUDA development, or ML operations
- Design and maintain Kubernetes clusters for GPU workloads at scale
- Optimize GPU utilization, memory management, and distributed training pipelines
- Implement infrastructure-as-code using Terraform, Helm, or equivalent tools
- Troubleshoot performance bottlenecks in GPU-accelerated applications and infrastructure
- Collaborate with ML engineers and backend teams on compute requirements and architecture
Required Skills
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