AI Infrastructure Platform Manager

NVIDIA Corporation; Austin (TX); On-site; USD 224,000 - 431,000; Full time

Job summary

NVIDIA Corporation in Austin is seeking an Engineering Manager to lead a team of software and systems engineers for the AI infrastructure platform used by researchers. You will own the platform end to end, shaping its roadmap, architecture, and reliability while partnering with research teams whose results depend on it.

The role requires 12+ years in software engineering with at least 5 years in leadership, plus hands-on experience with large-scale distributed systems and Kubernetes-based

Qualifications

• BS or MS in Computer Science, Computer Engineering or a related field.
• 12+ years in software engineering with 5+ years managing engineering teams.
• Track record building and running large-scale distributed systems in production.
• Hands-on depth in workload scheduling and resource management, distributed storage, or Kubernetes-based platforms.
• Hiring and growing senior engineers, building teams that maintain quality under pressure.
• Experience owning reliability for critical services: on-call, incident response, postmortems.
• Clear written communication and ability to capture decisions in writing.

Responsibilities

• Lead, hire and grow a team of 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: 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, 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.

Skills

Team leadership

Clear written communication

Hiring & mentoring

Distributed systems

Education

BS/MS in Computer Science or Computer Engineering

Tools

Kubernetes

Distributed storage

Job description

NVIDIA Corporation in Austin is seeking an Engineering Manager to lead a team of software and systems engineers for the AI infrastructure platform used by researchers. You will own the platform end to end, shaping its roadmap, architecture, and reliability while partnering with research teams whose results depend on it.

The role requires 12+ years in software engineering with at least 5 years in leadership, plus hands-on experience with large-scale distributed systems and Kubernetes-based