Engineering Manager - AI Infra & Large-Scale Clusters

NVIDIA Corporation; Santa Clara (CA); On-site; USD 224,000 - 357,000; Full time

Job summary

NVIDIA Corporation is seeking an engineering manager to lead a team of software and systems engineers building the AI infrastructure platform used by researchers and engineers. You will own a platform area end to end, shaping its roadmap, architecture, reliability and on-call health.

You will collaborate with model training teams and partner across NVIDIA and external vendors, driving quality at fleet scale and contributing to shared Kubernetes-based platform codebases.

Qualifications

• BS or MS in Computer Science, Computer Engineering or a related field, or equivalent experience.
• 12+ years in software engineering with 5+ years managing engineering teams.
• Track record of building and running large-scale distributed systems in production.

Responsibilities

• Lead, hire and grow a team of software and systems engineers.
• Own a core part of the AI infrastructure platform end to end.
• Translate research needs into platform capabilities and set ownership.
• Drive reliability, observability and safe rollouts across multiple clusters.
• Collaborate with infrastructure, storage, networking and cloud teams.

Skills

Team leadership

Software engineering

Kubernetes

Distributed systems

Observability

Reliability engineering

Communication

Hiring

Scheduling platforms

Education

BS or MS in Computer Science or Computer Engineering

Tools

Kubernetes

Cloud infrastructure

Job description

NVIDIA Corporation is seeking an engineering manager to lead a team of software and systems engineers building the AI infrastructure platform used by researchers and engineers. You will own a platform area end to end, shaping its roadmap, architecture, reliability and on-call health.

You will collaborate with model training teams and partner across NVIDIA and external vendors, driving quality at fleet scale and contributing to shared Kubernetes-based platform codebases.