Engineering Manager — AI Infrastructure & Kubernetes Platform

NVIDIA Corporation; Santa Clara (CA); On-site; USD 224,000 - 431,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation in Santa Clara solicits an Engineering Manager to lead a team of software and systems engineers building and operating AI infrastructure platforms. You will drive end-to-end ownership, roadmaps, and reliability while partnering with research teams to turn requirements into scalable platform capabilities.

The role emphasizes hiring top talent, cross-team collaboration, and maintaining high quality across distributed systems. Equity and benefits accompany base compensation.

Qualifications

• BS or MS in Computer Science, Computer Engineering or 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.
• Hands-on depth in workload scheduling, storage, or Kubernetes-based platforms.
• Experience owning reliability for critical services and leading postmortems.

Responsibilities

• Lead, hire and grow a team of software and systems engineers including tech leads.
• Own a core part of the AI infrastructure platform end to end: roadmap, architecture, reliability, on-call health.
• Turn research needs into platform capabilities by partnering with model training teams.
• Set ownership boundaries with clear interfaces to partner teams.
• Drive fleet-scale engineering quality with automation, observability, and safe rollouts.

Skills

Leadership

Team management

Communication

Strategic thinking

Stakeholder management

Education

BS or MS in Computer Science/Engineering

Equivalent experience

Tools

Kubernetes

Distributed systems

Cloud platforms

Job description

NVIDIA Corporation in Santa Clara solicits an Engineering Manager to lead a team of software and systems engineers building and operating AI infrastructure platforms. You will drive end-to-end ownership, roadmaps, and reliability while partnering with research teams to turn requirements into scalable platform capabilities.

The role emphasizes hiring top talent, cross-team collaboration, and maintaining high quality across distributed systems. Equity and benefits accompany base compensation.