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# Principal Software Engineer - DGX Cloud

- **Company:** NVIDIA Ltd.
- **Location:** Seattle, WA, United States
- **Salary:** $272,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Nvidia CUDA, Distributed Systems, Python (Programming Language), Prometheus, Software Engineering, System Programming, Systems Integration, Workflow Management Systems, Graphics Processing Unit (GPU), Google Cloud, Grafana, cuDNN, Containerization, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Slurm, Data Pipelines, Docker
- **Published:** October 28, 2026
- **Apply:** https://www.careerbuilder.com/job-details/principal-software-engineer-dgx-cloud-seattle-wa--7d556d1a-b6c9-424d-a3e1-299b52d4cbf1

## About the Role

Software Engineering, Cloud Computing, Automation, Software Engineering, Cloud Computing, Technical Leadership, Artificial Intelligence (AI), GPU (Graphics Processing Unit), System Integration (SI), Vehicle Fleets, * 16+ years of progressive industry experience

 * Master's or bachelor's degree in computer science or a related field, 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.

Ways to Stand Out from the Crowd:

 * 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.

## Description

* 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).