Join NVIDIA to Shape the Future of Data Center Networking. NVIDIA is seeking a visionary and experienced Software Architect to join our CTO Architecture Group, where we drive the innovation that defines the future of networking for AI infrastructure and data center technologies. In this role, you'll be at the forefront of architecting next-generation GPU networking, defining the software architecture for groundbreaking technologies in areas like network programming languages, DOCA, RDMA SDKs, network protocols, operating system kernels and data center infrastructure. You’ll collaborate with world-class teams and play a key role in influencing NVIDIA’s architectural direction across software and hardware stacks.
They should have validated experience in Software architecture and/or development in the field of datacenter networking. Moreover the architect show good overall understanding of system level issues, be familiar with network protocol, operating systems, and virtualization, work closely with customers on requirement collecting and feature definition, and able to technologically lead R&D.
What you'll be doing:
Technically leading the features owns working with customers and R&D on architecture and design of the features.
Clearly define the requirements. research the hardware, firmware, and software existing support and define the solution to match the requirements he defined.
Present and verify the solution defined to the potential customer or relevant community (Linux, DPDK, others) and to internal R&D for implementation.
Resolve issues raised during implementation stages or feedback from community and customers. Specific field of handling of new features include crypto RDMA, network compiler pipeline, proxy ready RoCE, AI and NCCL RDMA improvements, emulated netdev and storage blockdev, security for bare metal clouds, and more.
What we need to see:
B.Sc/ M.Sc in Computer Engineering, Computer Science or Electrical Engineering or equivalent experience.
5+ years of software development experience in C, 2+ years of architecture experience
Knowledge of networking drivers and operating systems
Work independently
Able to technically lead R&D
Ways to Stand Out from the Crowd:
Linux Kernel expertise and/or VMware
Background with RDMA, InfiniBand and/or high rate data path flows for HW devices
Experience with NCCL, DPDK, Open-vSwitch, KVM, Security
For two decades, we have pioneered visual computing, and the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, product design, medical diagnosis and scientific research. Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning. This new model - where deep neural networks are trained to recognize patterns from massive amounts of data - has shown to be deeply effective at solving some of the most complex problems in everyday life. NVIDIA is widely considered to be one of the technology world's most desirable companies to work for. Are you creative and driven? Do you love a challenge? If so, we want 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 152,000 USD - 218,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.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 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.Similar Jobs
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.”
