The NVIDIA DSX organization is looking for software engineering talent to build NVIDIA’s NICo technology. This software assists in the rapid bring-up, operation, configuration, and troubleshooting of computer hardware and networking equipment. As a software engineer, you will work with other software engineers, product architects, and product managers as a collaborative team to deliver and support 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 the NVIDIA Cloud Platform, working with other teams to develop a robust and scalable system. You own your code - from development to commit to test to production, including operational support. 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 customers
Design and build scalable software systems to manage NVIDIA’s cloud infrastructure.
Participate in responses to real-time operational events
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:
8+ years of experience with designing and building distributed software systems.
Track record of directly supporting systems with external customers, or demanding internal customers
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).
Knowledge of SRE principles (observability, SLOs, logging, etc.)
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.
Familiarity with Infiniband networking
Background with Host management systems (DHCP, Redfish, UEFI) and host security services such as TPM, TXT, and Secure-Boot
Kubernetes and/or distributed task scheduling
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: Cloud Computing, Cloud Operations, Cloud Storage. If you're a creative engineer who enjoys autonomy and shares our passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD.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
- 8+ years designing and building distributed software systems
- Track record supporting systems for external or demanding internal customers
- BS/MS in Computer Science or related field (or equivalent experience)
- Ability to write production code in C, C++, Golang, or Rust
- Ability to design and implement maintainable APIs for consumers
- Practical experience with asynchronous programming, type safety, threading models, state machines, and data structures
- Background with data persistence (SQL or similar)
- Understanding of secure communication protocols (mutual-TLS, IPsec, or similar)
- Knowledge of SRE principles (observability, SLOs, logging)
- Experience in a Hyperscale Cloud Service Provider
- Understanding of networking protocols (IP, IPv6, BGP, HTTP, ICMP, VXLAN, Geneve, FoU, GRE)
- Familiarity with Infiniband networking
- Background with host management systems (DHCP, Redfish, UEFI) and host security services (TPM, TXT, Secure-Boot)
- Kubernetes and/or distributed task scheduling experience
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 — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
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.”
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