Senior Distributed Software Engineer, Golang - DGX Cloud

at Nvidia

USD 184,000-356,500 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 Communication @ 7 Debugging @ 4 Deep Learning Distributed Systems @ 7 GPU @ 6 Go Kubernetes @ 7 Machine Learning Software Development @ 6

Details

NVIDIA is seeking a Senior Software Engineer to develop distributed storage services for AI/ML. The role focuses on designing and building reliable, scalable, and efficient storage-as-a-service solutions tailored to AI applications. These services must be deployable anywhere and scale without limitations, supporting NVIDIA's business across graphics drivers, autonomous vehicles, and deep learning frameworks.

Responsibilities

Lead the overall architecture and design of a distributed storage service optimized for AI/ML.
Develop and maintain robust, scalable distributed Go programs deployed to open-source ecosystems, including Kubernetes.
Develop and maintain user-space applications, containers, Go bindings, and CLI tools.
Build features that improve availability and reliability for large-scale distributed storage deployments.
Collaborate with NVIDIA Research, Computing, Product teams, cross-functional teams, and external customers to deliver cloud services.
Automate the distributed storage service end to end, including deployment, management, and monitoring.

Requirements

Bachelor's degree in Computer Science or a related field, or equivalent experience.
At least 8 years of industry experience.
Strong background developing distributed systems with Golang, Kubernetes, and cloud service provider integrations.
Proven track record delivering distributed services in a variety of distributed computing environments.
Experience implementing storage services and interfaces that provide scalable, high-performance, and reliable solutions.
Experience owning product delivery from inception through support.
Experience developing and maintaining enterprise software.
Experience deploying, managing, and debugging applications in Kubernetes environments.
Strong communication and presentation skills.

Preferred Qualifications

Experience architecting, building, and deploying distributed services running on large-scale clusters ranging from multi-petabyte to exabyte scale and supporting millions of users.
Ownership of all software development and delivery lifecycle stages.
Interest in accelerated computing environments and technologies such as GPU Direct Storage, DPU, and RDMA.
Experience building and delivering cloud services, particularly distributed systems.

Benefits

Equity and benefits are available.
NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer.
Applications will be accepted at least until August 30, 2026.
NVIDIA uses AI tools in its recruiting processes.