Posted at: 27 April
Principal Software Architect, Networking AI
Company
NVIDIA Corporation is a Santa Clara-based technology company specializing in designing GPUs and AI solutions for gaming, professional visualization, and cloud services, operating in both B2B and B2C markets globally.
Remote Hiring Policy:
NVIDIA supports flexible remote work arrangements and hires from various regions globally, including the Americas, Europe, Asia, and the Middle East, with roles that may require collaboration across time zones.
Job Type
Full-time
Allowed Applicant Locations
United States
Salary
$272,000 to $431,250 per year
Job Description
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:Leading the development of next-gen Scale-up fabric for AI data-centersConcentrating on collaborative communication and vertical co-development of AI networks alongside hardware, software, and applicationsGuaranteeing scalability, reliability, and robust training for large model developmentCollaborating with cross-functional teams to build and implement innovative solutionsCreating innovative concepts that will ultimately proceed to full-scale manufacturingPartnering with world-class talent to successfully implement new technologiesWhat we need to see:15+ experience in software architecture and networkingBachelor’s degree in Engineering or equivalent experienceStrong expertise in AI applied researchDemonstrated ability to lead complex projects and deliver flawless resultsExcellent collaboration skills and the ability to work with diverse teamsA track record of innovation and the determination to compete at the highest levelWays to stand out from the crowd:Advanced degree or equivalent experience in Engineering or a related areaExperience with large-scale AI data-center operationsOutstanding abilities in resiliency and tail-robust training methodsProven ability to generate world-class innovationsSolid experience in collaborative development of AI networks within specific sectorsWith 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 272,000 USD - 431,250 USD.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until May 1, 2026.This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.NVIDIA is committed to fostering a diverse 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.