Principal Software Engineer - DGX Cloud

NVIDIA•Santa Clara, CA

1d•$272,000 - $431,250

About The Position

NVIDIA is seeking a Principal Software Engineer to join its DGX Cloud team and build foundational systems for NVIDIA’s high-performance GPU infrastructure. The role involves developing scalable automation, integrating diverse systems, and enabling seamless workflows across global cloud operations. As a senior technical leader, the engineer will shape the platform supporting AI and cloud computing. The position leads development of APIs, state management, and workflow orchestration for large-scale fleet lifecycle operations. It also drives technical alignment across partner teams, mentors senior engineers, and translates customer and product needs into business solutions. The engineer will work with executive and engineering leadership to turn business processes into scalable, measurable platforms and guide integration of AI schedulers and observability technologies. NVIDIA offers a base salary range of USD 272,000–431,250, determined by location, experience, and comparable employee pay. The position is also eligible for equity and benefits. Applications will be accepted at least until October 27, 2026. This posting is for an existing vacancy.

Requirements

16 or more years of progressive industry experience.
Bachelor’s or master’s degree in computer science or a related field, or equivalent experience defining and shipping complex distributed systems.
Hands-on expertise establishing, operating, and scaling services in fast-paced, high-reliability environments.
Ability to work in ambiguous, fast-paced environments by testing ideas, iterating toward working solutions, and hardening successful solutions into reliable, scalable systems.
Outstanding proficiency in modern systems programming languages such as Go, Java, or Python.
Track record of defining, owning, and evolving the architecture of high-scale distributed systems, including advanced API, control-plane, and data-pipeline patterns.
Deep understanding of global cloud infrastructure such as AWS, GCP, or Azure, and container ecosystems such as Docker and Kubernetes.
Ability to drive technical strategy and influence outcomes across organizational boundaries.
Strong communication skills, including explaining complex technical concepts, driving organizational consensus, and mentoring high-performing engineers.

Nice To Haves

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

Responsibilities

Lead the development of next-generation APIs, state management, and workflow orchestration systems that automate fleet lifecycle operations at massive scale.
Drive technical alignment across dependent systems and partner teams to support cohesive integration, clear interfaces, and reliable end-to-end workflows.
Coach and mentor senior engineers and elevate technical standards and guidelines across the organization.
Focus on customer experience and product requirements, translating technical insight into high-impact business solutions.
Partner with executive and engineering leadership to codify business processes into self-measuring, scalable, and operationally consistent platforms that reduce manual toil.
Direct integration strategies for technologies including Kubernetes, Slurm, Prometheus, OpenTelemetry, and Grafana.