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 other objective job-related factors. The expected base salary ranges for this position are: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.
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.Skills Required
- Bachelor of Science in Computer Science, a related field, or equivalent experience
- 8+ years of industry experience
- Strong background developing distributed systems using Golang, Kubernetes, and cloud service provider integrations
- Track record delivering distributed services in varied distributed computing environments
- Experience implementing storage services and interfaces for scalable, high-performance, reliable solutions
- History of 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
- Experience architecting, building, and deploying distributed services on large-scale clusters
- Experience with multi-petabyte to exabyte-scale systems and millions of users
- Ownership of all software development and delivery lifecycle stages
- Experience with accelerated computing environments, including GPU Direct Storage, DPU, or RDMA
- Experience building and delivering cloud services focused on distributed systems
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Feedback suggests equity grants, stock options/RSUs, and a discounted ESPP materially boost total compensation and can deliver significant wealth-building when the stock performs well.
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Healthcare Strength — Feedback suggests medical, dental, and vision plans with in-network preventive care at 100%, telehealth, and concierge-style support are comprehensive and valued.
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Parental & Family Support — Feedback suggests up to 22 weeks fully paid parental leave, fertility coverage, and adoption/surrogacy reimbursement provide strong family-focused benefits.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
