NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
Join NVIDIA’s ambitious team and be part of a legacy of innovation! We are seeking a Principal SW Architect, Networking to build the future of AI data-centers. This role is tailored for those passionate about collective communication, vertical co-development of AI networks, and large model training scalability. Your work will drive innovation and contribute to large-scale production, making a real impact on the world!
What you'll be doing:
Developing the next-gen Scale-up fabric for AI data-centers
Concentrating on collaborative communication and vertical co-development of AI networks alongside hardware, software, and applications
Guaranteeing scalability, reliability, and robust training for large model development
Collaborating with cross-functional teams to build and implement innovative solutions
Creating innovative concepts that will ultimately proceed to full-scale manufacturing
Partnering with world-class talent to successfully implement new technologies
What we need to see:
6+ experience in software architecture and networking
Bachelor’s degree in Engineering or equivalent experience
Strong expertise in AI applied research
Demonstrated ability to lead complex projects and deliver flawless results
Excellent collaboration skills and the ability to work with diverse teams
A track record of innovation and the determination to compete at the highest level
Ways to stand out from the crowd:
Advanced degree or equivalent experience in Engineering or a related area
Experience with large-scale AI data-center operations
Outstanding abilities in resiliency and tail-robust training methods
Proven ability to generate world-class innovations
Solid experience in collaborative development of AI networks within specific sectors
With competitive salaries and a comprehensive benefits package, NVIDIA is widely regarded as one of the most desirable technology employers in the world. Our teams are composed of some of the most forward‑thinking and driven engineers in the industry, and we continue to grow rapidly. If you are a senior data engineer passionate about building large‑scale, high‑impact data platforms, we’d love 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 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
- 6+ years of experience in software architecture and networking
- Bachelor’s degree in Engineering or equivalent experience
- Strong expertise in AI applied research
- Ability to lead complex projects and deliver results
- Excellent collaboration skills and ability to work with diverse teams
- Track record of innovation and determination to compete at a high level
- Advanced degree or equivalent experience in Engineering or a related area
- Experience with large-scale AI data-center operations
- Expertise in resiliency and tail-robust training methods
- Ability to generate world-class innovations
- Experience developing AI networks collaboratively within specific sectors
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.”
