Lead GPU Infra Engineer AI/ML HPC & NVIDIA Stack
Listed on 2026-10-16
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IT/Tech
Systems Engineer, AI Engineer (Applied/Software), SRE/Site Reliability, Cloud Computing: Infrastructure & Operations
Live Mindz Inc. seeks an experienced HPC/AI systems engineer to design and operate NVIDIA GPU infrastructure in production environments. You will deploy H100/H200 platforms, manage CUDA drivers, container tooling, and high-performance networking to support scalable AI workloads.
The role requires hands-on Linux administration, SLURM scheduling, MIG partitioning, and container orchestration with Docker and Kubernetes, ensuring reliability, monitoring, and optimized multi-GPU communication.
The following position is for a Lead GPU Infra Engineer for AI/ML HPC & NVIDIA Stack with Live Mindz Inc.
The advertised compensation is 120..
We aim to respond to suitable candidates as soon as possible.
Full responsibilities and requirements are described in the listing above.
Learn more about the Lead GPU Infra Engineer for AI/ML HPC & NVIDIA Stack role in the description above.
We appreciate your interest in this position.
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