The NVIDIA DSX OS organization is looking for software engineering talent to build NVIDIA’s accelerated compute cloud services. These services include software to manage hardware and network provisioning to build a multi-tenant infrastructure. As a software engineer, you will work with other software engineers, product architects, and product managers as a collaborative team to deliver end-to-end software solutions to manage complex cloud infrastructure deployments.
You will write services and software that aligns with the broad architectural vision for NVIDIA DSX OS, working with other teams to develop a robust and scalable system. You own your code - from development to commit to test to production. We expect you to be passionate about code quality, testing, deployment efficiency/simplicity and bringing amazing products to market.
What you will be doing:
- Work with NVIDIA internal partners
- Design and build scalable software systems to manage NVIDIA’s cloud infrastructure.
- Building network and systems automation software for managing a multi-tenant cloud infrastructure
- Participate in open-source communities of software we leverage and build.
- Present to internal stakeholders and NVIDIA leadership on roadmaps, vision, & demos
What we need to see:
- 12+ years of experience with designing and building distributed software systems.
- BS/MS degree in Computer science or related areas (or equivalent experience)
- Demonstrated ability to write code in a mainstream systems programming language such as C, C++, Golang, or Rust.
- Demonstrated ability to design and implement maintainable APIs for consumers.
- Practical experience with asynchronous programming, type safety, threading models, state machines and data structures.
- Background of data persistence (SQL or similar).
- Understanding of secure communication protocols (mutual-TLS, IPsec, or similar).
Ways to stand out from the crowd:
- Experience in a Hyperscale Cloud Service Provider (public facing or not)
- Understanding of networking protocols such as IP, IPv6, BGP, HTTP, ICMP, tunneling protocols (VXLAN, Geneve, FoU, GRE), etc.
- Background with Host management systems (DHCP, Redfish, UEFI) and host security services such as TPM, TXT, and SecureBoot
- Kubernetes and/or distributed task scheduling
- Knowledge of SRE principles (observability, SLOs, logging, etc.)
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, 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 looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're creative and passionate about developing cloud services we want to hear from you!
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:224,000 USD – 356,500 USD for Level 5; and 272,000 USD – 431,250 USD for Level 6.
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
- 12+ years of experience designing and building distributed software systems
- Bachelor’s or master’s degree in computer science or a related field, or equivalent experience
- Ability to write code in a mainstream systems programming language such as C, C++, Golang, or Rust
- Ability to design and implement maintainable APIs
- Practical experience with asynchronous programming, type safety, threading models, state machines, and data structures
- Background with data persistence using SQL or similar technologies
- Understanding of secure communication protocols such as mutual TLS or IPsec
- Experience with hyperscale cloud service providers
- Understanding of networking protocols including IP, IPv6, BGP, HTTP, ICMP, VXLAN, Geneve, FoU, and GRE
- Experience with host management systems such as DHCP, Redfish, and UEFI
- Experience with host security services such as TPM, TXT, and Secure Boot
- Experience with Kubernetes or distributed task scheduling
- Knowledge of SRE principles, including observability, SLOs, and logging
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 — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
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Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
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Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
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.”
