# Senior Engineering Manager

**Company**: NVIDIA
**Location**: Santa Clara, CA
**Experience**: senior
**Job type**: full-time
**Salary**: $272,000 - $431,250 for Level 4, and $320,000 - $488,750 for Level 5
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Manager--AI-and-HPC-Cluster-Engineering-Enablement_JR2028678-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_80000498-eae

## 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.

## Skills

### Required
- Linux
- GPU workload scheduling
- cluster management
- networking
- large-scale shared storage
- high-performance computing
- AI infrastructure
- datacenter systems
- production engineering

### Nice to have
- HPC/AI clusters
- cluster management platforms
- workload schedulers
- GPU resource allocation
- large or petabyte-scale filesystems

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Manager--AI-and-HPC-Cluster-Engineering-Enablement_JR2028678-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)