Principal Software Engineer, Distributed Systems Engineer - DGX Cloud

You will be doing

• Participate in the development of production systems enabling large-scale GPU clusters for various AI workloads.
• Develop custom software related to scheduling GPU resources on Kubernetes.
• Implement monitoring and health management capabilities for industry-leading reliability, availability, and scalability of GPU assets.
• Work with multiple data streams, including GPU hardware diagnostics and cluster/network telemetry.
• Collaborate with cross-functional teams to ensure production AI clusters operate reliably and consistently with peak performance.
• Evaluate system failures and improve services through a defined incident management process.

We need to see

• Significant experience in software engineering within a highly technical organization, with demonstrable impact from your work.
• Experience with Kubernetes APIs and frameworks, not just operating a cluster.
• Absolutely motivated with strong communication skills, able to work with multi-functional teams, principles, and architects.
• At least 15+ years of experience in similar roles and extensive experience with large-scale production systems.
• Strong background in software engineering principles, tools, and techniques.
• A Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, or a comparable field, or equivalent experience.
• Technical proficiency in managing and automating large-scale distributed systems, independent of cloud providers.
• Advanced hands-on experience and deep understanding of cluster management systems such as Kubernetes, Slurm, and Bright Cluster Manager.
• Proven operational excellence in maintaining reliable and performant AI infrastructure.

What You Will Be Doing

You will be part of an DGX Cloud team responsible for production systems that enable large scalable GPU clusters to be used for a variety of AI workloads. This includes working on custom software related to scheduling GPU resources on Kubernetes. Implementing monitoring and health management capabilities that enable industry leading reliability, availability, and scalability of GPU assets. You will be harnessing multiple data streams, ranging from GPU hardware diagnostics to cluster and network telemetry. Working with teams across NVIDIA to ensure production AI clusters run reliability and consistently with maximum performance. Evaluating system failures and improving services based on a well-defined incident management process.

What We Need To See

Direct experience in a software engineering role within a highly technical organization with demonstrable impact from your work. Software development experience with Kubernetes APIs and frameworks not just operating a cluster. Highly motivated with strong communication skills, you can work successfully with multi-functional teams, principles, and architects and coordinate effectively across organizational boundaries and geographies. 15+ years in similar role and experience on large-scale production systems. Experience with common software engineering principles, tools and techniques. You possess a BS in Computer Science, Engineering, Physics, Mathematics or a comparable Degree or equivalent experience. Technical knowledge, including a systems programming language (Go, Python) and a solid understanding of data structures and algorithms. Ways To Stand Out From The Crowd Technical competency in managing and automating large-scale distributed systems independent of cloud providers. Advanced hands-on experience and deep understanding of cluster management systems (Kubernetes, Slurm, Bright Cluster Manager). Proven operational excellence in maintaining reliable and performant AI infrastructure. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you are creative and autonomous, we want to hear from you!

Pay & Benefits

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $272,000 - $431,250. You will also be eligible for equity and benefits.

Application Information

Applications for this job will be accepted at least until June 29, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.