HPC Deployment Director - AI Data Center Leader with Equity

NVIDIA; United States; Remote; USD 216,000 - 397,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking an experienced Senior Manager to lead the deployment of AI and HPC infrastructure. You will supervise the design, installation, and validation of high-performance systems and networks, guiding a multi-disciplinary team to deliver complex AI HPC projects on time and with high quality.

Applicants should bring 10+ years in IT/HPC, strong leadership, and deep expertise in HPC interconnects, schedulers, and GPU-accelerated environments.

Qualifications

• 10+ years in IT/HPC or related field with leadership experience.
• Expertise in HPC systems design, planning, and HPC storage.
• Proficient with Infiniband/Ethernet interconnects and GPU accelerators.
• Experience with HPC software cluster management and job schedulers.
• Proficiency in OpenMP, MPI, NCCL, and CUDA ecosystems.
• Strong scripting skills (Bash, Python, Perl) and Linux administration.

Responsibilities

• Direct HPC engineering functions for design, install, and validation of AI HPC systems.
• Lead planning, implementation, and performance of HPC projects and services.
• Develop deployment procedures and validation tests for AI HPC platforms.
• Guide multi-layered HPC teams and ensure timely project delivery.
• Collaborate with stakeholders to align service quality and improvements.

Skills

HPC systems

Low latency interconnect

Slurm

MPI

NCCL

GPU acceleration

Scripting

Linux admin

Leadership

Education

Bachelor's degree (CS/IS)

Tools

Slurm

Salt

Ansible

Puppet

Job description

NVIDIA is seeking an experienced Senior Manager to lead the deployment of AI and HPC infrastructure. You will supervise the design, installation, and validation of high-performance systems and networks, guiding a multi-disciplinary team to deliver complex AI HPC projects on time and with high quality.

Applicants should bring 10+ years in IT/HPC, strong leadership, and deep expertise in HPC interconnects, schedulers, and GPU-accelerated environments.