Manager, Software Engineering - DGX Cloud

JobCubby; Santa Clara, Northern (CA, KY); Hybrid; USD 224,000 - 431,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking 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 a team of engineers, partner with multiple groups, and shape roadmaps and demos for a world-class GPU cloud built on Kubernetes.

You will collaborate across verticals such as autonomous vehicles, hardware design, and AI, and present strategic updates to leadership.

Qualifications

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

Responsibilities

• Partner with internal teams to gather requirements and develop solutions for success.
• Develop, guide, and supervise a team of engineers to educate partner teams on cloud-based solutions.
• Understand NVIDIA's multiple verticals including autonomous vehicles, hardware design, and AI.
• Present roadmaps, vision, and demos to internal partners and leadership.
• Engage in open-source communities of software we use and build.

Skills

Go/Golang

Java

C/C++

Rust

Kubernetes

Linux networking

APIs design

Distributed systems

Education

BS/MS in Computer Science or related

Tools

Kubernetes

Docker

containerd/CRI-O

Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

Seeking seasoned leader to manage a software engineering team for NVIDIA DGX Cloud Kubernetes (DGXC-K8s) organization, supporting internal and external clients. Be part of a groundbreaking team excelling in AI and cloud computing! We are building a world-class GPU cloud using the latest NVIDIA technologies, and built on top of Kubernetes. You will gain hands‑on experience operating a platform that is on the forefront of emerging AI needs!

What Will You Be Doing:

• 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

What We Need To See:

• BS/MS degree in Computer Science or related areas (or equivalent experience)
• 10+ overall years of experience in designing and building distributed software systems
• 4+ years of experience in leading a team of engineers with varying talents across organizations
• Strong ability to write code in mainstream systems programming languages such as Golang, Java, C, C++, or Rust
• Demonstrated ability to craft and implement maintainable APIs for consumers
• Experience with Kubernetes and/or distributed task scheduling
• Understanding of underlying Linux Kernel scheduling, memory management, and networking subsystems
• Understanding of infrastructure, networking, storage, and DevOps scripting/tooling
• Container orchestration experience (containerd, CRI-O, Docker)
• Familiarity with Identity and Access Management approaches and the ability to reach cross‑functional consensus while dealing with ambiguity

Ways To Stand Out From The Crowd:

• Experience in a Hyperscale Cloud Service Provider (public-facing or not)
• Experience in measuring and improving operational excellence
• Experienced, persuasive, and effective presentation skills (written and verbal)
• Demonstrated skills in leadership, communication, mentoring, analysis, problem‑solving, and short/long‑term planning
• Excellent interpersonal and organizational skills and the ability to handle diverse situations

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 431,250 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 6, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.