Senior AI/HPC Cluster Enablement Manager

NVIDIA Corporation; United States; On-site; USD 180,000 - 260,000; Full time

Job summary

NVIDIA Corporation seeks a Senior Engineering Manager to lead cluster engineering support for AI/HPC infrastructure. You will grow the engineering community, create hands-on training, and manage engineering requests with clear intake, prioritization, and ownership.

You will collaborate with architecture, bringup, software, firmware, networking, storage, and datacenter operations to ensure progress, share knowledge, and deliver scalable guidance.

Qualifications

• 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, setting priorities, and delivering across organizational boundaries.
• Practical understanding of Linux clusters, GPU workload scheduling, cluster management, networking, servers, and large-scale shared storage, with the ability to understand technical requests and engage the right specialists.
• Experience coordinating engineering requests, support queues, or operational workflows, including prioritization, ownership, managing blocking issues, and communication through completion.
• Ability to translate complex infrastructure concepts into clear documentation, training, and guidance for engineers with different levels of experience.
• Strong collaboration and communication skills, with sound judgment when balancing user needs, engineering priorities, and resource constraints in an evolving hardware and software environment.

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 that help users work effectively on evolving AI/HPC platforms.
• 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 aligned with engineering achievements and available capacity.
• 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 so users can plan and complete their work.
• Turn recurring questions, request patterns, and specialist findings into reusable guidance, training, and proposals for self-service tools or workflow improvements.
• Use request volume, response time, aging, completion trends, training participation, and user feedback to improve support quality and communicate priorities and capacity needs.

Skills

HPC infrastructure

Engineering leadership

Linux clusters

GPU scheduling

Cluster management

Networking

Shared storage

Documentation & training

Communication

Prioritization

Education

BS/MS/PhD in CS/CE/EE or equivalent

Job description

NVIDIA Corporation seeks a Senior Engineering Manager to lead cluster engineering support for AI/HPC infrastructure. You will grow the engineering community, create hands-on training, and manage engineering requests with clear intake, prioritization, and ownership.

You will collaborate with architecture, bringup, software, firmware, networking, storage, and datacenter operations to ensure progress, share knowledge, and deliver scalable guidance.