Senior Manager, AI and HPC Cluster Engineering Enablement
Key Skills for This Role
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What you'll be doing:
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.
What we need to see:
- 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
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Ways to stand out from the crowd:
- Experience designing or operating large HPC/AI clusters and supporting the engineers who depend on them, especially during early hardware, firmware, or software lifecycle phases.
- Experience with cluster management platforms and workload schedulers, GPU resource allocation, and large or petabyte-scale filesystems.
- Established success in forming engineering communities, induction programs, technical workshops, or peer learning activities that increase user self-sufficiency and performance.
- Experience improving request workflows across compute, networking, storage, and software teams, with clear handoffs, shared priorities, and measurable service improvements.
- Proven experience in developing inclusive teams that foster ownership, knowledge transfer, thoughtful decision-making, and career growth.
- NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. Our invention serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is seeking exceptional individuals like you to help us drive the next wave of artificial intelligence.
- NVIDIA is considered one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you are creative and autonomous, we want to hear from you!
- You will also be eligible for equity and benefits .
- This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes.
About NVIDIA
Computing platform company for AI and accelerated graphics.
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