NVIDIA has been transforming computer graphics, PC gaming, accelerated computing, and AI for more than 25 years. Today, we are defining the next era of computing, where AI datacenters, GPUs, networking, and accelerated infrastructure work together as one system. We are looking for an outstanding engineer to join our software architecture group and help shape the next generation of NVIDIA networking products, SmartNICs, and DPUs. In this role, you will work closely with system architects, software/firmware engineers, hardware designers and product stakeholders to define component-level and system-level solutions for advanced datacenter platforms.
You will join a team working at the intersection of AI networking, virtualization, operating systems, security, management, and programmable acceleration. Our mission is to push the boundaries of modern datacenter infrastructure and help define the platforms of tomorrow.
What You’ll Be Doing:
Work with architects and engineers to define software architecture for NVIDIA networking devices, SmartNICs, and DPUs.
Analyze system requirements across networking protocols, virtualization, operating systems, security, management, and services.
Research new ideas, evaluate design alternatives, and build proof-of-concept models, simulations, and prototypes.
Collaborate with software, firmware, and hardware teams on HW/SW co-design, performance, scale, and resource-utilization challenges.
Learn complex datacenter technologies and turn them into clear architecture proposals, design documents, and technical presentations.
What We Need To See:
Engineer holding a B.Sc. or M.Sc. in Computer Science, Electrical Engineering, Computer Engineering, or a related field.
1+ years of relevant experience
Proven strong programming skills, in C/C++, preferably for large and complex embedded systems.
Solid understanding of operating systems, multi-threading, computer architecture, and software fundamentals.
Curiosity and ability to learn new technologies quickly, investigate deeply, and work through ambiguous problems.
Independent problem solver who also works well in a team environment.
Clear written and verbal communication skills.
Ways To Stand Out From The Crowd:
Knowledge of networking protocols such as Ethernet, InfiniBand, RDMA, RoCE, TCP/IP, or congestion control.
Experience with Linux, Linux kernel, device drivers, embedded systems, or system software.
Experience building simulations, performance models, prototypes, or proof-of-concept software.
Exposure to virtualization, security, programmable acceleration, SmartNICs, DPUs, or DOCA.
Open-source contribution, previous internship experience, or hands-on project work in relevant technical domains.
NVIDIA is widely considered one of the technology world’s most desirable employers. We are made up of forward-thinking, hardworking people who are passionate about solving some of the world’s most important computing challenges.
NVIDIA is committed to fostering a diverse and inclusive work environment and is proud to be an equal opportunity employer. We do not discriminate 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
- B.Sc. or M.Sc. in Computer Science, Electrical Engineering, Computer Engineering, or related field
- 1+ years of relevant experience
- Proven strong programming skills in C/C++
- Solid understanding of operating systems, multi-threading, computer architecture, and software fundamentals
- Curiosity and ability to learn new technologies quickly and investigate ambiguous problems
- Independent problem solver who works well in a team
- Clear written and verbal communication skills
- Knowledge of networking protocols (Ethernet, InfiniBand, RDMA, RoCE, TCP/IP, congestion control)
- Experience with Linux, Linux kernel, device drivers, embedded systems, or system software
- Experience building simulations, performance models, prototypes, or proof-of-concept software
- Exposure to virtualization, security, programmable acceleration, SmartNICs, DPUs, or DOCA
- Open-source contributions, internships, or hands-on project work in relevant domains
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.”
