Senior Platform & Kubernetes Engineering Manager (Equity)

NVIDIA Corporation; Texas; On-site; USD 272,000 - 431,000; Full time

Job summary

NVIDIA Corporation is seeking a Senior Engineering Manager to lead a team building platform software for open-source container runtimes, Kubernetes, Kata, and Confidential Containers. You will guide architecture, perform technical leadership, and collaborate across NVIDIA to ensure integration across the stack.

The role emphasizes hands-on management of distributed systems, strong communication, and the ability to drive improvements while solving complex problems.

Qualifications

• BS/MS in Computer Science or related field (or equivalent experience).
• At least 12 years of professional experience, including 5 years leading high-performing engineering teams.
• Strong understanding of Container Orchestration Systems (K8s) and Container Technology.
• Working knowledge of systems programming languages such as Rust and Go with solid data structures and algorithms.
• Knowledge of Unix/Unix-like kernel internals (Linux).
• Background in Cloud Computing and distributed software design/development.
• Awareness of performance, security, and reliability in complex distributed systems.

Responsibilities

• Lead a small, dynamic team delivering platform software for container runtimes and related tech.
• Enable GPUs as first-class resources in Kubernetes, Kata Containers, and Confidential Containers.
• Drive core NVIDIA Cloud Native technologies for accelerators in the Kubernetes stack.
• Coordinate with engineering teams across NVIDIA to ensure seamless integration up and down the stack.
• Balance multiple tracks to address evolving priorities effectively.

Skills

Engineering leadership

Distributed systems

Software architecture

Open-source platforms

Education

BS/MS in Computer Science or related field

Tools

Kubernetes

Rust

Go

Unix/Linux kernel knowledge

Job description

NVIDIA Corporation is seeking a Senior Engineering Manager to lead a team building platform software for open-source container runtimes, Kubernetes, Kata, and Confidential Containers. You will guide architecture, perform technical leadership, and collaborate across NVIDIA to ensure integration across the stack.

The role emphasizes hands-on management of distributed systems, strong communication, and the ability to drive improvements while solving complex problems.