Principal Software Engineer - DGX Cloud

at Nvidia
USD 272,000-431,200 per year
SENIOR
✅ On-site

Tech Stack

AI @ 3 API @ 6 AWS @ 7 Azure @ 7 CUDA @ 3 Cloud Computing @ 7 Data Pipelines @ 6 Distributed Systems @ 4 Docker @ 7 GCP @ 7 GPU Go @ 6 Grafana Java @ 6 Kubernetes @ 7 Machine Learning Observability OpenTelemetry Prometheus Python @ 6 Security @ 4 Slurm

Details

NVIDIA is looking for a Principal Software Engineer to join its DGX Cloud team and build the foundational systems that drive NVIDIA’s high-performance GPU infrastructure. You will lead scalable automation, integrate diverse systems, and enable seamless workflows across global cloud operations.

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.
  • Coach, mentor, and encourage senior engineers to elevate technical standards and guidelines across the organization.
  • Maintain a strong focus on 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, reducing manual toil.
  • Direct the integration strategy for key technologies, including common AI schedulers (e.g., Kubernetes, Slurm) and observability systems (e.g., Prometheus, OpenTelemetry, Grafana).

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 establishing, operating, and scaling services in a fast-paced, high-reliability environment.
  • Ability to 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 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.
  • Ability to communicate complex technical concepts, drive organizational consensus, and mentor high-performing engineers.

Ways to Stand Out from the Crowd

  • 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 operational and deployment aspects of the NVIDIA AI/ML software stack (CUDA, cuDNN, containerization).
  • Patent contributions or a strong publication record related to distributed systems, cloud computing, or infrastructure automation.

NVIDIA offers highly competitive salaries and a comprehensive benefits package. Base salary is determined based on location, experience, and the pay of employees in similar positions. You may also be eligible for equity and benefits.

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