NVIDIA is looking for a outstanding Networking & Software Architect to join the NIC Software/Firmware Architecture group. Be part of a team crafting the next generation DPUs and SmartNICs. Collaborate with both hardware and software architects, R&D teams and develop PoC-level code. Join an assemble of outstanding people, whose goal is to be industry and technology leaders of tomorrow platforms.
What You’ll Be Doing:
Define next-generation SmartNIC software and firmware stacks’ architecture to match expected and future workloads.
Conduct research in network protocols, explore new network technologies, extend networking drivers, driver offloads and accelerators of various SmartNICs-related tasks.
Conduct research in network protocols, new network technologies, networking drivers, accelerations, and offloading of various network-related tasks
What We Need to See:
B.Sc. or M.Sc. in Computer Engineering, Computer Science, Electrical Engineering, or equivalent.
2-4 years of shown experience in the field.
Outstanding ability to work independently, interact with customers, and guide R&D teams.
Excellent communication and presentation skills.
Ways to Stand Out from the crowd:
Experience in Linx kernel development.
Experience in embedded SW/FW development.
Familiar with datacenter’s network protocols
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 are creative and autonomous, we want to hear from you! NVIDIA is committed to encouraging 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.
Top Skills
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.”
