Senior Software Engineer, Distributed Systems Engineer - DGX Cloud

2100 NVIDIA USA; Santa Clara (CA); On-site; USD 152,000 - 287,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA in Santa Clara is hiring experienced software engineers to scale up its AI infrastructure, focusing on production systems for large GPU clusters and scalable platforms.

The role emphasizes distributed systems design, cluster management, and performance tuning, with a BS in CS/Engineering and 5+ years in similar roles. Base salary ranges are provided, equity eligible, and applications run through Aug 1, 2026.

Qualifications

• Significant software engineering experience in a highly technical organization with demonstrable impact.
• Strong communication skills and ability to coordinate across multi-functional teams and geographies.
• 5+ years in a similar role and experience on large-scale production systems.
• BS in Computer Science, Engineering, Physics, Mathematics or a comparable degree or equivalent experience.
• Proficiency in a systems programming language (Go, Python) and solid understanding of data structures and algorithms.

Responsibilities

• Be part of a DGX Cloud team responsible for production systems enabling large scalable GPU clusters for AI workloads.
• Design and develop a massively distributed scalable platform to identify, diagnose and remediate non-performant GPU assets.
• Collaborate with NVIDIA teams to ensure production AI clusters run reliably and with maximum performance; evaluate failures and improve services via incident management.

Skills

Distributed systems

Go/Python programming

Communication

Education

BS in Computer Science/Engineering/Physics/Mathematics

Tools

Kubernetes

Slurm

Job description

NVIDIA is hiring experienced software engineers to help scale up its AI Infrastructure. We expect you to have significant software engineering experience with cluster operations, operator development, node health monitoring and working with GPU resource scheduling. We encourage out-of-the-box problem solvers 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.

• Designing and developing a massively distributed scalable platform which would be used to identify, diagnose and remediate non-performant GPU assets.

• Working with teams across NVIDIA to ensure production AI clusters run reliably 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.

• 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.

• 5+ 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, Base Command Manager).

• Prior experience in asynchronous workflows and/or event driven architecture.

• Proven operational excellence in maintaining reliable and performant 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 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 1, 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.