Manager, Software Engineering - DGX Cloud

NVIDIA•Seattle, TX

About The Position

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!

Requirements

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

Nice To Haves

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

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