Senior Manager, AI and HPC Cluster Engineering Enablement

Job not on LinkedIn

🔥 6 minutes ago

🏄 California, Colorado, +3 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🌲 North Carolina – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $272k - $488.8k / year

⏰ Full Time

🟠 Senior

🖥 Software Engineer

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👻 Ghost score 1%

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Lead and grow a team dedicated to cluster engineering support, community involvement, training, and managing engineering requests • Develop an internal engineering community through onboarding, office hours, technical workshops, and knowledge sharing • Create training and documentation for cluster access, workload submission, GPU resource scheduling, shared storage, operational procedures, and actionable support requests • Own request intake and prioritization, including clarifying needs, capturing impact and priorities, identifying dependencies, and maintaining a transparent queue • Coordinate specialist investigations and deep-debug support, connect requesters with technical owners, track progress, and address stalled requests • Partner with cluster operations and engineering teams on access, allocations, maintenance communications, and resource needs • Convert recurring questions, request patterns, and specialist findings into reusable guidance, training, self-service tools, and 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

🎯 Requirements

• 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 • 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 • Strong collaboration and communication skills, with sound judgment when balancing user needs, engineering priorities, and resource constraints • Experience designing or operating large HPC/AI clusters and supporting engineers 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 • Experience forming engineering communities, induction programs, technical workshops, or peer learning activities • Experience improving request workflows across compute, networking, storage, and software teams • Proven experience developing inclusive teams that foster ownership, knowledge transfer, thoughtful decision-making, and career growth

🏖️ Benefits

• Equity • Benefits