# Engineering Manager - Managed AI Research Superclusters

**Company**: NVIDIA
**Location**: Santa Clara, CA
**Experience**: senior
**Job type**: full-time
**Salary**: 224,000 USD – 356,500 USD for Level 3; 272,000 USD – 431,250 USD for Level 4
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Manager--Software-Engineering_JR2029432?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_9f147355-c54

## Description

NVIDIA's Managed AI Research Superclusters (MARS) team builds and scales infrastructure, platforms, and tools for researchers and engineers to develop next-generation AI/ML systems. As an Engineering Manager, you will lead a team of software and systems engineers, own a platform area end-to-end, and work directly with research teams.

## Responsibilities

- Lead, hire, and grow a team of strong software and systems engineers, including senior and staff-level engineers and tech leads.

- Lead a core part of the AI infrastructure platform end-to-end: its roadmap, architecture, reliability, and on-call health.

- Turn research needs into platform capabilities by working directly with model training teams.

- Set clear ownership and decision rights for your area: named owners, written decisions, and clean interfaces to partner teams.

- Drive engineering quality at fleet scale: automation over manual operations, observability built-in, safe rollouts across many clusters.

- Partner with infrastructure, storage, networking, Kubernetes, and cloud-provider teams across NVIDIA, and with external vendors and open-source communities.

- Measure what matters for researchers, such as reliability, latency, and use it to set priorities.

- Contribute to the shared Kubernetes-based platform codebase, including its open-source path, alongside your own team's systems.

## Requirements

- BS or MS in Computer Science, Computer Engineering, or a related field, or equivalent experience.

- 12+ overall years in software engineering, with 5+ years managing engineering teams, including leading tech leads or managers.

- A track record of building and running large-scale distributed systems in production: clusters, platforms, or infrastructure services used by other engineers.

- Hands-on depth in at least one of: workload scheduling and resource management, distributed storage and data systems, or Kubernetes-based platforms.

- Hiring and growing senior engineers, and building teams that keep quality high under pressure.

- Experience owning reliability for critical services: on-call, incident response, postmortems, and the fixes that follow.

- Clear written communication.

## Nice to Have

- Experience with GPU clusters for AI training at scale: thousands of GPUs, large training runs, high-speed interconnects.

- Experience with reinforcement learning or post-training workloads and what they need from infrastructure.

- Contributions to open-source infrastructure projects, or experience taking an internal platform open source.

- Has led teams across time zones.

- Uses AI coding and operations tools in daily work and has raised a team's productivity with them.

## Compensation

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:

- 224,000 USD – 356,500 USD for Level 3;

- 272,000 USD – 431,250 USD for Level 4.

You will also be eligible for equity and benefits.

## Skills

### Required
- Computer Science
- Computer Engineering
- Software Engineering
- Distributed Systems
- Kubernetes

### Nice to have
- GPU clusters
- Reinforcement Learning
- Post-training workloads
- Open-source infrastructure projects

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Manager--Software-Engineering_JR2029432?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)