Engineering Manager – Cloud AI & Kubernetes

NVIDIA; United States; Remote; USD 224,000 - 431,000; Full time

Job summary

NVIDIA seeks a seasoned leader to manage a software engineering team for the DGX Cloud Kubernetes (DGXC-K8s) organization, supporting internal and external clients. You will guide engineers, align with partners, and shape roadmaps for AI and cloud platforms, leveraging NVIDIA technologies on Kubernetes.

You will interact with leadership, drive architectural decisions, and contribute to open-source communities while advancing NVIDIA's diverse AI and cloud initiatives.

Qualifications

• BS/MS degree in Computer Science or related areas (or equivalent experience).
• 10+ years of experience designing and building distributed software systems.
• 4+ years of experience leading a team of engineers across organizations.
• Strong ability to write code in Golang, Java, C, C++, or Rust.
• Experience with Kubernetes and/or distributed task scheduling.
• Understanding of Linux kernel scheduling, memory management, and networking subsystems.
• Understanding of infrastructure, networking, storage, and DevOps tooling.
• Container orchestration experience (containerd, CRI-O, Docker).
• Familiarity with Identity and Access Management approaches and cross-functional consensus.

Responsibilities

• Partner with multiple internal teams to gather requirements, provide feedback to engineering teams, and develop solutions to aid in their success.
• Develop, guide, and supervise a team of engineers to educate partner teams on standard methodologies for cloud-based solutions.
• Gain a deep understanding of how NVIDIA develops across multiple verticals, including autonomous vehicles, chip manufacturing, hardware design, and AI.
• Present to internal partners and NVIDIA leadership on roadmaps, vision, and demos.
• Participate in open-source communities of software we use and build.

Skills

Golang

Java

C/C++

Rust

Distributed systems

Kubernetes

Linux kernel

APIs

DevOps tooling

Education

BS/MS in Computer Science or related

Tools

Docker

containerd

CRI-O

Job description

NVIDIA seeks a seasoned leader to manage a software engineering team for the DGX Cloud Kubernetes (DGXC-K8s) organization, supporting internal and external clients. You will guide engineers, align with partners, and shape roadmaps for AI and cloud platforms, leveraging NVIDIA technologies on Kubernetes.

You will interact with leadership, drive architectural decisions, and contribute to open-source communities while advancing NVIDIA's diverse AI and cloud initiatives.