HPC Deployment & Validation Lead — AI Data Centers

NVIDIA Corporation; Texas; Hybrid; USD 216,000 - 397,000; Full time

Job summary

NVIDIA Corporation is seeking an HPC Deployment Manager to lead a team of AI/HPC specialists in Wisconsin. You will supervise deployment of InfiniBand and Ethernet tech, guide project planning, and ensure timely delivery of large-scale AI/HPC data center initiatives.

The role demands senior-level experience, strong leadership, and a customer-centric approach as you coordinate with clients, partners, and internal teams to execute mission-critical workloads.

Qualifications

• 10+ years IT/HPC or related field experience.
• 3+ years in management or leadership role.
• Expertise in HPC system design, configuration, and planning.
• Proficient with low latency/high bandwidth interconnects.
• Experience with HPC job schedulers and parallel frameworks.
• Strong scripting and Linux/Unix administration.

Responsibilities

• Directs HPC engineering functions for hardware/software deployment.
• Leads planning, implementation, and performance of HPC projects.
• Ensure reliable HPC AI network/server platforms and testing procedures.
• Drive deployment plans, validation, and customer engagements.
• Mentor team members and foster relationships with customers and partners.

Skills

HPC systems design

Infiniband expertise

GPUs experience

Linux/Unix admin

Scripting (Python, Bash)

OpenMP/MPI/NCCL

Job scheduling (Slurm xCAT Salt)

Leadership

Customer engagement

Project planning

Education

Bachelor's degree in CS/IS or related

Tools

InfiniBand

GPUs hardware/software

HPC cluster management tools

Job description

NVIDIA Corporation is seeking an HPC Deployment Manager to lead a team of AI/HPC specialists in Wisconsin. You will supervise deployment of InfiniBand and Ethernet tech, guide project planning, and ensure timely delivery of large-scale AI/HPC data center initiatives.

The role demands senior-level experience, strong leadership, and a customer-centric approach as you coordinate with clients, partners, and internal teams to execute mission-critical workloads.