Principal Software Engineer - DGX Cloud

NVIDIA•Seattle, CA

19h

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. We are looking for a Principal Software Engineer to join our DGX Cloud team and build the foundational systems that drive NVIDIA’s high-performance GPU infrastructure. You will play a meaningful role in crafting scalable automation solutions, integrating diverse systems, and enabling seamless workflows across global cloud operations. As a Principal Engineer in DGX Cloud, you will be at the pinnacle of technical leadership. You will directly craft the platform that fuels the future of AI and cloud computing.

Requirements

16+ years of progressive industry experience
Master's or Bachelor's degree, or equivalent experience defining and shipping complex distributed systems.
Deep, hands-on expertise in establishing, operating, and scaling services in a fast paced, high-reliability environment.
Thrive in ambiguous, fast paced environments by rapidly testing ideas, iterating toward working solutions, and then hardening the winners into reliable, scalable systems.
Outstanding proficiency in modern systems programming languages such as Go, Java, or Python.
Proven track record of defining, owning, and evolving the architecture of high-scale distributed systems, including advanced patterns for APIs, control planes, and data pipelines.
Deep understanding of global cloud infrastructure (AWS, GCP, Azure) and container ecosystems (Docker, Kubernetes).
Demonstrated ability to drive technical strategy and influence outcomes across organizational boundaries.
Outstanding ability to communicate complex technical concepts, drive organizational consensus, and mentor high-performing engineers.

Nice To Haves

A history of successfully leading the development and adoption of organization-wide workflow orchestration systems for petabyte-scale infrastructure.
Experience in a Principal/Staff+ capacity, delivering measurable improvements in operational efficiency, reliability, and security across a large engineering org.
Deep familiarity with the operational and deployment aspects of the NVIDIA AI/ML software stack (CUDA, cuDNN, containerization).
Patent contributions or a strong publication record in areas related to distributed systems, cloud computing, or infrastructure automation.

Responsibilities

Lead the build and development of next-generation APIs, state management, and workflow orchestration systems that automate fleet lifecycle operations at a massive scale.
Drive technical alignment across dependent systems and partner teams to ensure cohesive integration, clear interfaces, and reliable end-to-end workflows, with a strong focus on delivery.
Act as a force-multiplier by coaching, mentoring, and encouraging senior engineers, elevating the technical standards and guidelines across the organization.
Maintain an incredible focus on the customer experience and product requirements, translating deep technical insight into high-impact business solutions.
Partner with executive and engineering leadership to codify critical business processes into self-measuring, scalable, and operationally consistent platforms, drastically reducing manual toil.
Direct the integration strategy for key technologies, including common AI schedulers (e.g., Kubernetes, Slurm) and innovative observability systems (e.g., Prometheus, OpenTelemetry, Grafana).