We expect you to have significant software engineering experience with 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. If you're creative, passionate about GPUs, and love having fun, please apply today!
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 reliability and consistently with maximum performance. Evaluating system failures and improving services based on a well-defined incident management process.
- Working across all of our product stack: React, Web Components, TypeScript, Golang, PostgreSQL, Temporal, Bazel, Kubernetes
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 or Engineering or equivalent experience
- 6+ years of experience doing full-stack engineering
- 3+ years building and shipping consumer-facing products
- Proficiency in React, TypeScript/JavaScript, and Golang
- Proficiency with a SQL database
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).
- Empathy for users, attention to detail, and a passion for creating world-class user experiences
- Prior experience in asynchronous workflows and/or event driven architecture.
- Proven operational excellence in maintaining reliable and performant infrastructure.
- A good understanding of how to use LLMs responsibly and the perils of blindly consuming their output
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 May 17, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
