Engineering Manager, AI Infra Platform

NVIDIA Corporation; Colorado; On-site; USD 224,000 - 431,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking an experienced Engineering Manager to lead one of our AI infrastructure teams within the MARS organization. You will grow a team of software and systems engineers, own the end-to-end platform for model training workloads, and collaborate with researchers to translate their needs into scalable platform capabilities.

You will drive fleet-scale reliability, establish clear ownership, and partner with Kubernetes, cloud, and storage teams to advance NVIDIA's AI compute platform

Qualifications

• BS or MS in Computer Science, Computer Engineering or related field, or equivalent experience.
• 12+ years in software engineering with 5+ years leading engineering teams.
• Track record building and running large-scale distributed systems used by other engineers.
• Hands-on depth in workload scheduling, distributed storage/data systems, or Kubernetes-based platforms.
• Experience hiring and growing senior engineers and building teams that stay productive under pressure.
• Experience owning reliability for critical services (on-call, incident response, postmortems).
• Clear written communication and ability to document decisions across teams.

Responsibilities

• Lead, hire and grow a team of software and systems engineers, including senior and staff engineers and tech leads.
• Own end-to-end core AI infrastructure platform: roadmap, architecture, reliability and on-call health.
• Translate research needs into platform capabilities by collaborating with model training teams.
• Define ownership and decision rights with clear interfaces to partner teams.
• Drive platform quality at fleet scale: automation, observability, safe rollouts across clusters.
• Collaborate with infrastructure, storage, networking, Kubernetes and cloud-provider teams across NVIDIA and with external partners.
• Measure reliability and latency and use data to set priorities.
• Contribute to open-source platform codebase alongside your team.

Skills

Team leadership

Software engineering

Distributed systems

Kubernetes

Communication

Hiring

Education

BS/MS CS/CE

Tools

Kubernetes

Distributed storage

Workload scheduling

Job description

NVIDIA is seeking an experienced Engineering Manager to lead one of our AI infrastructure teams within the MARS organization. You will grow a team of software and systems engineers, own the end-to-end platform for model training workloads, and collaborate with researchers to translate their needs into scalable platform capabilities.

You will drive fleet-scale reliability, establish clear ownership, and partner with Kubernetes, cloud, and storage teams to advance NVIDIA's AI compute platform