GPU Fabric Engineer
Location: Remote
Compensation: To Be Discussed
Reviewed: Mon, Jul 13, 2026
This job expires in: 30 days
Job Summary
Seeking a full-time remote GPU Fabric Engineer, the successful candidate will validate, troubleshoot, and optimize high-speed networking fabrics for GPU clusters, focusing on AI training and inference workloads.
Key Responsibilities
- Validate and troubleshoot InfiniBand and RoCE fabrics during GPU cluster bring-up and expansion
- Tune fabric performance parameters for distributed AI workloads, including NCCL and MPI
- Monitor and manage fabrics using NVIDIA UFM for health, topology, and performance visibility
Required Qualifications
- 3-7 years of experience in network engineering, HPC fabric, or GPU infrastructure
- Hands-on experience with InfiniBand and/or RoCE fabrics in GPU cluster environments
- Experience with NVIDIA UFM for fabric management, monitoring, and diagnostics
- Strong understanding of RDMA transport and lossless Ethernet design
- Proficiency in Python or Bash for scripting and validation
COMPLETE JOB DESCRIPTION
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