Senior GPU and HPC Infrastructure Engineer - DGX Cloud

NVIDIA is hiring engineers to scale up its AI Infrastructure. We expect you to have a strong programming background, knowledge of datacenter hardware, operations, and networking, familiarity with software testing and deployment, familiarity with distributed systems, and excellent communication and planning abilities. Experience working with High Performance Computing (HPC), GPUs, and high-performance networking (RDMA, Infiniband, RoCE) are strongly preferred. We also welcome out-of-the-box thinkers who can provide new ideas with a strong execution bias.

Expect to be constantly challenged, improving, and evolving for the better. You and other engineers on this team will help advance NVIDIA's capacity to build and deploy leading infrastructure solutions for a broad range of AI-based applications that affect core data science.

• Build a comprehensive platform that automates GPU asset provisioning, configuration, and lifecycle management across cloud providers.
• Contribute to end-to-end automation of datacenter operations, break/fix, and lifecycle management for large‑scale Machine Learning systems.
• Implement monitoring and health management capabilities that enable industry‑leading reliability, availability, and scalability of GPU assets.
• Harness multiple data streams, ranging from GPU hardware diagnostics to cluster and network telemetry.
• Work on software that manages NVLINK topography across GPU clusters.
• Build automated test infrastructure to qualify distributed systems for operation.
• Work with engineering teams across NVIDIA to integrate software from hardware to AI training applications.
• Constantly innovate, discover new problems and their solutions.

• 10+ years of software engineering experience on large‑scale production systems.
• BS in Computer Science/Engineering/Physics/Mathematics or comparable degree or equivalent experience.
• Expert knowledge of a systems programming language (Go, Python) and strong understanding of data structures and algorithms.
• Expert level knowledge of Linux system administration and management.
• Understanding of cluster management systems (Kubernetes, SLURM).
• Understanding of performance, security and reliability in complex distributed systems.
• Familiarity with system level architecture, data synchronization, fault tolerance and state management.

• Proficiency in architecting and managing large‑scale distributed systems independent of cloud providers.
• Deep knowledge of datacenter operations and GPU hardware.
• Hands‑on experience with RDMA networking.
• Advanced hands‑on experience and deep understanding of cluster management systems (Kubernetes, SLURM).
• Hands‑on experience in Machine Learning Operations.
• Hands‑on experience with Bright Cluster Manager.
• Hands‑on experience developing and/or operating hardware fleet management systems.
• Proven operational excellence in designing and maintaining AI infrastructure.

Base salary ranges: $184,000 – $287,500 for Level4; $224,000 – $356,500 for Level
5. You will also be eligible for equity and other benefits.

Applications will be accepted at least until July
11,2026.

NVIDIA is committed to fostering an inclusive work environment and is an equal‑opportunity employer. We do 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.