Description
NVIDIA is seeking a Senior Engineering Manager to support internal engineers in adopting next-generation AI/HPC clusters.
The successful candidate will be responsible for cluster engineering support, growing the engineering community, creating hands-on training, and handling requests from engineering users and supporting teams.
Key responsibilities include:
- Leading and growing a team dedicated to cluster engineering support, community involvement, training, and managing engineering requests
- Developing a connected internal engineering community through onboarding, office hours, technical workshops, and knowledge sharing
- Creating practical training and documentation for cluster access, workload submission, GPU resource scheduling, shared storage, and operational procedures
- Owning the request intake and prioritization process, clarifying needs, capturing impact and priorities, identifying dependencies, and maintaining a transparent queue
- Coordinating requests that require specialist investigation, including deep-debug support
- Partnering with cluster operations and engineering teams on access, allocations, maintenance communications, and resource needs
The ideal candidate has:
- 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
We offer a competitive salary range of $272,000 - $488,750 per year, depending on location, experience, and level. You will also be eligible for equity and benefits.