Senior Production Engineer - DGX Cloud

NVIDIA is hiring experienced Senior Production Engineers to help scale up its AI Infrastructure. You will have significant experience with site reliability principles and techniques including reliability assessments, incident management processes, production system observability, monitoring and alerting, automated deployments, and toil elimination. Production Engineering is a software engineering discipline, and your contributions will impact our codebase. We welcome new ideas with strong execution bias. Join us to advance NVIDIA's capacity to build and deploy leading infrastructure solutions for AI applications.
For two decades, NVIDIA has pioneered visual computing and GPU technology, expanding into video games, movie production, product design, medical diagnosis, and scientific research. Today, we are at the beginning of the AI computing era, fueled by GPU deep learning.
What you will be doing:

You will be part of a 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 GPU asset provisioning, configuration, and lifecycle management across cloud providers.
Implement 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.
Work 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 Production Engineering/DevOps/SRE 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.
8+ years in similar role and experience on large-scale production systems. Experience with the aforementioned Production Engineering/DevOps/SRE 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.
Compensation and Benefits

Base salary range: Level 4 – $168,000 to $270,250; Level 5 – $208,000 to $333,500.
You will be eligible for equity and benefits.
Applications for this job will be accepted at least until June 3, 2026.
NVIDIA uses AI tools in its recruiting processes.
Equal Opportunity Employer

NVIDIA is committed to fostering an inclusive work environment and is proud to be an equal opportunity employer. The company does not discriminate 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.

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