Principal Engineer - AI & HPC Solutions Architect

Role and team

AI and HPC infrastructure delivery

• Design scalable, high-performance compute infrastructure for AI and HPC clusters and lead deployment and integration using NVIDIA, AMD, and Intel technologies.
• Deploy and manage NVIDIA Base Command Manager, Slurm, Kubernetes, or related cluster management platforms.
• Run benchmarking, validation, and performance optimization using NCCL, HPL, MLPerf, IO500, or related tools.
• Advise clients on AI and HPC infrastructure strategy, planning, implementation, and operational readiness; assess requirements and provide customized solutions.
• Troubleshoot performance bottlenecks across compute, storage, and network layers.
• Produce architecture diagrams, deployment guides, technical designs, and operational procedures.
• Serve as a trusted technical advisor throughout customer engagements.

Essential requirements

• Proven success designing and deploying large-scale HPC and AI clusters using NVIDIA, AMD, and Intel technologies.
• Strong Linux systems administration, troubleshooting, and automation experience.
• Extensive hands-on experience with NVIDIA Base Command Manager, Slurm, Kubernetes, or equivalent orchestration platforms.
• Experience with InfiniBand and RoCE high-performance networking and with system benchmarking, validation, and optimization.
• Ability to manage multiple projects independently in dynamic environments.
• Strong customer-facing communication and consulting skills.

Desirable experience

• Experience with NVIDIA DGX and DGX SuperPOD platforms is desirable.
• Familiarity with AI/ML and generative AI infrastructure, containerized AI platforms, and software stacks is desirable.
• Python, Ansible, Terraform, or similar automation experience is desirable.
• Knowledge of data center operations, networking, storage architectures, and cloud integration is desirable.
• Experience supporting GPU clusters with thousands of accelerators is desirable.