Senior Distributed Software Engineer, Golang - DGX Cloud
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+4 more
Job description
NVIDIA is seeking a Senior Software Engineer to help us develop distributed storage services for AI/ML. In this role you will work closely with the broader NVIDIA team to design and build a reliable, scalable, and efficient storage-as-a-service tailored to AI applications that can be deployed anywhere and scale without limitations. This service supports the whole NVIDIA critical business from graphics drivers to autonomous vehicles to deep learning frameworks. To achieve this goal, we are looking for an engineer with a deep understanding of distributed systems, outstanding design skills, and a track record in building and delivering large-scale distributed services.
What you will be doing:
- Leading the overall architecture and design of our distributed storage service optimized for AI/ML
- Develop and maintain distributed, robust and scalable Go programs deployed to state of the art open-source ecosystems, including Kubernetes.
- Develop and maintain user-space applications, containers, Go-bindings, and CLI tools.
- Building features for a distributed storage service to enhance availability and reliability for large-scale deployments
- Engaging and collaborating with NVIDIA Research, Computing, Product teams, cross-functional teams, and external customers to deliver Cloud services.
- Automating distributed storage service end-to-end, including deployment, management, and monitoring
Requirements
- Bachelor’s of Science in Computer Science, or related field (or equivalent experience) with 8+ years of industry experience
- Strong background in developing distributed systems involving Golang, Kubernetes, and Cloud Service Provider integrations
- Strong track record of delivering distributed services in a variety of distributed computing environments
- Experience in implementing storage services and interfaces to ensure scalable, high-performance, and reliable solutions
- History of ownership of product delivery from inception to support
- Experience developing and maintaining enterprise software. Experience deploying, managing, and debugging applications in a Kubernetes environment
- Great communication and presentation skills
Ways to stand out from the crowd:
- You have architected, built, and deployed a distributed service that runs on large-scale clusters, multi-petabyte to exabyte in size, with millions of users
- You have owned responsibility for all lifecycle stages of software development and delivery.
- Passionate about innovating and investing in groundbreaking technologies and interested in working with accelerated Computing environments such as GPU Direct Storage, DPU, and RDMA. You are skilled in building and delivering cloud services, with a specific focus on distributed systems
Benefits & conditions
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
About the company
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. Our invention serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is seeking exceptional individuals like you to help us drive the next wave of artificial intelligence.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
Highest Paying Tech Companies for Developers
How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again
Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud
Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence