Senior HPC Architect / HPC Program Lead

What you'll do

• Design, build, and optimize HPC clusters across on-premises, cloud, and hybrid environments.
• Translate the HPC roadmap into technical designs, implementation plans, and working solutions.
• Support GPU-accelerated infrastructure for AI/ML training and inference by tuning drivers, CUDA libraries, and containers.
• Implement and maintain cloud HPC solutions on Azure, AWS, and other providers using infrastructure-as-code.
• Perform performance tuning, benchmarking, and capacity analysis for compute, storage, and network resources.
• Act as the highest-level escalation point for complex HPC incidents and perform root cause analysis.
• Provide technical mentoring and guidance to HPC engineers and support staff through design and code reviews.
• Create and maintain technical documentation, runbooks, and knowledge articles for the organization.

What we're looking for

• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
• 8+ years of hands-on experience in HPC engineering, infrastructure, or architecture roles.
• 2+ years of experience in a technical lead or senior engineer role.
• Proficiency in HPC cluster design, Linux system administration, Slurm, and high-speed networking like InfiniBand or RDMA.
• Experience with cloud HPC solutions (Azure, AWS), parallel file systems, and GPU computing (NVIDIA GPUs, CUDA).
• Strong scripting and automation skills using Python, Bash, PowerShell, Terraform, or Ansible.
• Experience supporting engineering simulation and scientific workloads in enterprise HPC environments (preferred).
• Hands-on knowledge of CAE/CFD applications, containers (Docker, Kubernetes), or cloud-native AI platforms (preferred).