Senior Manager, Software Engineering - DGX Cloud

NVIDIA•Seattle, CA

13d

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. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Seeking a seasoned leader to manage a software engineering team for NVIDIA DGX Cloud Kubernetes (DGXC-K8s) organization, supporting internal and external clients. Be a part of a groundbreaking team excelling in AI 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 (of equivalent experience)
10+ overall years of experience in designing and building distributed systems
4+ years of experience in leading and mentoring a team of engineers with varying talents across organizations
Strong ability to write/review code in mainstream systems programming languages such as Golang, Java, C, C++ or Rust
Proven ability to craft and implement maintainable APIs for consumers
Experience with Kubernetes and/or distributed task scheduling
Understanding of infrastructure, networking, storage and DevOps scripting/tooling
Familiarity with Identity and Access Management approaches and the ability to reach cross-functional consensus while dealing with ambiguity

Nice To Haves

Background in a Hyperscale Cloud Service Provider (public-facing or not)
Experience in measuring and improving operational excellence
Demonstrated skills in leadership, communication, mentoring, analysis, problem-solving, and short/long-term planning
Excelling interpersonal and organizational skills and the ability to handle diverse situations
Skilled in team expansion and talent acquisition, including designing efficient hiring workflows and establishing high-bar technical evaluation standards.

Responsibilities

Partner with multiple internal teams to gather requirements, provide feedback to engineering teams, and develop solutions aid in their success
Develop, guide, and supervise a team fo engineers to education 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, robotics, hardware design and AI
Develop and present roadmaps, vision and demos to internal partners and NVIDIA leadership
Participate in open-source communities of software and use and build