Why this role stands out
Shape the future of AI infrastructure by designing cutting-edge GPU-as-a-Service and AI Factory practices that will empower enterprise clients. If you're a seasoned architect with 6+ years of experience in HPC or AI infrastructure engineering, eager to tackle complex challenges in a hybrid environment, this is your opportunity to make a significant impact.
Quick overview
Job description
Employment Type: Full-Time
Compensation: Open / Best in the Industry
Interview Mode: Virtual
Practice: AI Infrastructure / GPU-as-a-Service (GPUaaS)
- Design and deploy large-scale GPU cluster infrastructure.
- Architect high-performance InfiniBand and Ethernet network fabrics.
- Design AI-focused storage architectures using WEKA, Lustre, VAST, GPFS, and DDN.
- Implement GPUDirect Storage, NVMe-over-Fabrics, and NFS-over-RDMA.
- Lead bare-metal provisioning, firmware standardization, cluster validation, and benchmarking.
- Create infrastructure BOMs and sizing recommendations.
- Troubleshoot cluster, networking, storage, and GPU performance bottlenecks.
- Establish infrastructure standards and review offshore team deliverables.
- 6+ years of HPC, AI Infrastructure, or GPU Cluster Engineering experience.
- Production experience supporting multi-node GPU environments.
- Deep expertise with InfiniBand and high-performance Ethernet architectures.
- Strong understanding of NVIDIA HGX, DGX, NVLink, and NVSwitch technologies.
- Experience with scale-out storage and parallel file systems.
- Advanced Linux systems administration skills.
- Strong background in data center infrastructure design.
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