Senior AI/HPC Cluster Enablement Manager (Equity Eligible)

NVIDIA Corporation; Santa Clara (CA); On-site; USD 272,000 - 489,000; Full time

Benefits offered by this job

Equity

Job summary

NVIDIA is seeking a Senior Engineering Manager to lead a team dedicated to cluster engineering support, training, and engineering-request management. You will coordinate onboarding, office hours, and workshops to empower engineers working on AI/HPC platforms.

You will own intake and prioritization, ensure transparent queues, and partner with operations to optimize access, allocations, and communications while turning recurring questions into reusable guidance.

Qualifications

• Requires BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, Applied Science, or equivalent practical experience.
• 8+ years of experience in high-performance computing, AI infrastructure, datacenter systems, production engineering, or large-scale Linux environments.
• 5+ years of technical leadership or engineering management experience, including mentoring engineers and delivering across boundaries.
• Strong understanding of Linux clusters, GPU workload scheduling, cluster management, networking, servers, and large-scale shared storage.

Responsibilities

• Lead and grow a team dedicated to cluster engineering support, community involvement, training, and managing engineering requests.
• Develop a connected internal engineering community through onboarding, office hours, technical workshops, and knowledge sharing.
• Create practical training and documentation for cluster access, workload submission, GPU resource scheduling, shared storage, operational procedures, and submitting actionable support requests.
• Own the request intake and prioritization process: clarify the need, capture impact and priorities, identify dependencies, and maintain a transparent queue.
• Coordinate requests that require specialist investigation, including deep-debug support.
• Connect requesters with the appropriate technical owners, agree on next steps, track progress, and bring up stalled requests.
• Partner with cluster operations and engineering teams on access, allocations, maintenance communications, and resource needs.
• Turn recurring questions, request patterns, and specialist findings into reusable guidance, training, and proposals for self-service tools.
• Use request volume, response time, aging, completion trends, training participation, and user feedback to improve support quality and communicate priorities and capacity needs.

Skills

Leadership

Linux HPC

GPU scheduling

Cluster management

Networking

Storage systems

Documentation & training

Communication

Cross-functional collaboration

Education

BS/MS/PhD in Computer Science/Engineering or Applied Science

Tools

SLURM

NFS/Storage tooling

Job description

NVIDIA is seeking a Senior Engineering Manager to lead a team dedicated to cluster engineering support, training, and engineering-request management. You will coordinate onboarding, office hours, and workshops to empower engineers working on AI/HPC platforms.

You will own intake and prioritization, ensure transparent queues, and partner with operations to optimize access, allocations, and communications while turning recurring questions into reusable guidance.