Senior HPC Architect / HPC Program Lead (AI/GPU)

Location: Santa Clara, California, United States

Salary: $140,500–$193,000 per year

Company

hirify.global develops materials science and engineering solutions and equipment used in semiconductor chips and advanced displays, supporting AI and next-generation semiconductor technology.

What you will do

• Design, build, and optimize HPC clusters across on-premises, cloud, and hybrid environments.
• Translate HPC roadmaps and workload requirements into technical designs, cluster configurations, deployment approaches, and working solutions.
• Design and support GPU-accelerated infrastructure for AI/ML training and inference, including tuning GPUs, drivers, CUDA libraries, containers, scheduling, and resource allocation.
• Implement and maintain cloud HPC platforms on Azure, AWS, Rescale, Azure CycleCloud, Slurm, and related tools.
• Automate provisioning and configuration, monitor performance and cloud costs, and maintain security, compliance, business continuity, documentation, and runbooks.
• Lead complex incident escalation, performance tuning, benchmarking, root-cause analysis, technical reviews, vendor coordination, and mentoring of HPC engineers and support staff.

Requirements

• 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, including 2+ years in a technical lead or senior engineer role.
• Strong knowledge of HPC cluster design, deployment, administration, Linux system administration, performance tuning, and Slurm or an equivalent HPC workload scheduler.
• Experience with cloud HPC solutions, including Azure and AWS.
• Experience with parallel file systems and high-performance storage such as Lustre, GPFS, BeeGFS, or Weka.
• Knowledge of high-speed networking, including InfiniBand and RDMA, GPU computing with NVIDIA GPUs and CUDA, MPI, and parallel application environments.
• Strong scripting and automation skills in Python, Bash, and PowerShell.
• Experience with infrastructure-as-code and configuration management tools such as Terraform, Ansible, or similar.
• Strong troubleshooting, analytical, communication, and collaboration skills.

Nice to have

• Experience supporting engineering simulation and scientific workloads in enterprise HPC environments.
• Hands-on knowledge of CAE and CFD applications such as Ansys, Siemens, or similar tools.
• Experience with HPC and AI containers, including Apptainer/Singularity, Docker, or Kubernetes.
• Experience with cloud-native AI platforms and MLOps workflows.
• Familiarity with HPC security, compliance, and governance frameworks.
• Relevant cloud or HPC certifications.

Culture & Benefits

• Full-time regular employment with a supportive culture focused on learning, development, and career growth.
• Comprehensive benefits supporting employee health and wellbeing, with potential eligibility for bonus and stock award programs.
• Travel is required for approximately 10% of the time.
• Relocation is not eligible for this role.
• Success is measured through HPC platform availability, performance, reliability, solution quality, incident reduction, resource utilization, and user satisfaction.