NVIDIA
Senior Manager, AI and HPC Cluster Engineering Enablement
$272K–$489K
US, CA, Santa Clara +5 · Manager · Full-time · Posted Oct 27, 2026
- Location
- US, CA, Santa Clara
US, NC, Remote
US, TX, Remote
US, CO, Remote
US, WA, Remote
US, CA, Remote - Experience
- 8+ years in high-performance computing, AI infrastructure, datacenter systems, production engineering, or large-scale Linux environments; 5+ years of technical leadership or engineering management.
- Education
- BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, Applied Science, or equivalent practical experience.
About the job
Leads a team that enables engineers to use AI/HPC clusters through training, community support, request management, and coordination with technical teams.
What you'll do
- Lead cluster engineering support, community engagement, training, and engineering-request management.
- Create onboarding, workshops, documentation, and reusable guidance for cluster access, workloads, scheduling, storage, and operations.
- Manage request intake and prioritization, coordinate specialist investigations, track progress, and improve support workflows using service metrics and user feedback.
What they ask for
- Practical understanding of Linux clusters, GPU workload scheduling, cluster management, networking, servers, and large-scale shared storage.
- Experience coordinating engineering requests or operational workflows through prioritization, ownership, issue resolution, and communication.
- Ability to translate infrastructure concepts into clear documentation, training, and guidance.
- Strong collaboration and communication skills, with judgment balancing user needs, engineering priorities, and resource constraints.
Nice to have
- Experience designing or operating large HPC/AI clusters and supporting engineers, especially in early hardware, firmware, or software lifecycle phases.
- Experience with cluster management platforms, workload schedulers, GPU resource allocation, and large or petabyte-scale filesystems.
Pay
272,000 USD - 431,250 USD base salary (Level 4); 320,000 USD - 488,750 USD base salary (Level 5)
Tools
Linux, GPU
AI focus
Enables internal engineers to adopt and use AI/HPC clusters; the posting also states that NVIDIA uses AI tools in its recruiting processes.
Model-written summary · the original posting is authoritative