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 What we need to see: • 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 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. 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. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 3, 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 proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.

Requirements

Must-haves

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
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
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.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until October 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlgokubernetesgolang

Platform: eightfold
Effort: medium