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. 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!

As a AI networking and Data Center Solutions Architect you will help our customers and partners adopt end-to-end AI solutions. Work with our most strategic technology customers in their AI Journey building their technology infrastructure to reach their AI Goals.

What you will be doing:

• Working with NVIDIA customers on data center networking infrastructure projects as a solution architect. Guide customers to server/network/cluster deployments and lead discussions about network topologies, compute/storage for AI

• Use your strong technical skills to consult, design AI systems and tackle customer issues

• Conducting regular technical customer meetings for project/product roadmap, feature discussions and introduction to new technology solutions

• Provide a constructive feedback to engineering regarding product requirements, evolution, including submitting Requests for Enhancements supported with business evidence

What we need to see:

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.

• 5+ years of Solution Architecture (or similar Sales Engineering roles) experience

• Advance knowledge of Data Center Networking - topologies, Ethernet routing and switching protocols

• Effective time management and capable of balancing multiple tasks. Proactively engaging withe customers and colleagues to achieve their goals.

Ways to stand out from the crowd:

• Hands-on experience with NVIDIA systems/SDKs (e.g. CUDA), NVIDIA Networking technologies (e.g., DPU, RoCE, InfiniBand), and/or ARM CPU solutions, NCCL and NIXL knowledge.

• Understanding of system level issues, including Operating Systems, Linux kernel drivers, PCIe devices, NICs, and hardware architecture

• Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center compute/network/storage deployments

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

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.