Principal Software Engineer, Distributed Systems Engineer - DGX Cloud

NVIDIA; United States; Remote; USD 272,000 - 431,000; Full time

Job summary

NVIDIA is seeking an experienced software engineer to help scale AI infrastructure. You will join the DGX Cloud team and work on production systems that enable large GPU clusters for diverse AI workloads, including scheduling GPU resources in Kubernetes and building monitoring for reliability and performance.

The role demands deep software engineering experience with Kubernetes APIs, strong data structures and algorithms, and proficiency in Go or Python.

Qualifications

• Direct experience in a software engineering role within a highly technical organization with demonstrable impact.
• Software development experience with kubernetes APIs and frameworks, not just cluster operations.
• Strong communication, able to coordinate across teams and geographies.
• 15+ years in a similar role on large-scale production systems.
• BS in Computer Science, Engineering, Physics, Mathematics, or related field.
• Proficiency in Go and/or Python, and solid data structures and algorithms.

Responsibilities

• Develop and operate large-scale production GPU clusters on DGX Cloud.
• Advance scheduling of GPU resources within Kubernetes and related frameworks.
• Implement monitoring and health management for high reliability and performance.
• Analyze failures and drive incident response improvements.
• Collaborate with cross-functional teams across NVIDIA to maintain production readiness.

Skills

Kubernetes APIs

Go

Python

Data structures

Algorithms

Communication skills

Education

Bachelor's degree in Computer Science, Engineering, Physics, Mathematics or equivalent

Tools

Kubernetes

Slurm

Bright Cluster Manager

Job description

NVIDIA is hiring experienced software engineers with kubernetes experience to help scale up its AI Infrastructure. We expect you to have significant software engineering experience with kubernetes including cluster operations, operator development, node health monitoring and working with GPU resource scheduling. We welcome out-of-the-box thinkers who can provide new ideas with strong execution bias. Expect to be constantly challenged, improving, and evolving for the better. You will help advance NVIDIA's capacity to build and deploy leading infrastructure solutions for a broad range of AI-based applications. For two decades, we have pioneered visual computing, the art and science of computer graphics. With the invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, product design, medical diagnosis and scientific research. Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning.

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!

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 USD - 431,250 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 3, 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. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.