Senior Software Engineer - DGX Cloud

at Nvidia

USD 224,000-431,200 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI Algorithms @ 4 Data Science Data Structures @ 4 Distributed Systems @ 4 GPU @ 6 Go @ 4 Kubernetes @ 7 Linux @ 7 Machine Learning Mathematics @ 4 Networking @ 4 Python @ 4 Rust @ 4 Security @ 4 Slurm @ 7 System Administration @ 7

Details

Join a team of engineers at NVIDIA dedicated to scaling the AI infrastructure that powers cutting-edge data science applications. The team solves complex challenges across datacenter hardware, networking, distributed systems, and software deployment. Engineers collaborate closely to design and deliver leading infrastructure solutions, combining strong technical foundations with creative thinking and a bias toward execution.

Responsibilities

Contribute to a comprehensive platform that automates GPU asset provisioning, configuration, and lifecycle management across cloud providers.
Build end-to-end automation for data center management, break/fix, and the full span of system upkeep 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.
Build automated test infrastructure used to qualify distributed systems for operation.
Partner with engineering teams across NVIDIA to ensure that software integrates seamlessly from the hardware through to AI training applications.

Requirements

12+ years of experience in a similar role working on large-scale production systems.
Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, or another comparable field, or equivalent experience.
Expert-level knowledge of a systems programming language such as Go, Python, and/or Rust.
Solid understanding of data structures and algorithms.
Strong background in Linux system administration and management.
Deep knowledge of container orchestration platforms such as Kubernetes and/or SLURM.
Understanding of performance, security, and reliability in complex distributed systems.
Familiarity with system-level architecture, data synchronization, fault tolerance, and state management.

Preferred Qualifications

Proficiency in designing and building widespread distributed networks.
Experience managing large-scale distributed systems independently of cloud providers.
Extensive expertise in datacenter operations and GPU hardware.
Hands-on experience working with RDMA networking.
Advanced hands-on experience and deep understanding of cluster management systems, including Kubernetes and SLURM.

Compensation and Benefits

Base salary range of $224,000–$356,500 for Level 5.
Base salary range of $272,000–$431,250 for Level 6.
Base salary is determined based on location, experience, and the pay of employees in similar positions.
Eligible for equity and benefits.

Applications will be accepted at least until October 31, 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 is an equal opportunity employer.