Senior HPC Solutions Architect

What you'll do

• Assist in deploying and debugging AI workloads on NVIDIA platforms.
• Identify and resolve hardware issues for customers and keep them informed.
• Benchmark new framework features and share performance insights with stakeholders.
• Solve cluster performance and stability issues directly with external clients.
• Guide customers in scaling workloads efficiently on the latest NVIDIA GPUs.

What we're looking for

• 10+ years of experience in designing, managing, and supporting large-scale hybrid networks.
• Strong programming skills in C/C++ or Python.
• Proven ability to identify and resolve bottlenecks in large-scale training workloads.
• Deep understanding of CPU/GPU architectures, CUDA, parallel filesystems, and high-speed interconnects.
• Experience working with compute clusters and their internal scheduling mechanisms like SLURM.
• System-level knowledge of server/rack architecture, BMC, PCIe devices, network adapters, Linux OS, and kernel drivers.
• Excellent communication skills for liaisoning with customers, partners, and internal teams.