Software Architect

NVIDIA is seeking a Software Architect to join its software architecture group. The successful candidate will help shape the next generation of NVIDIA networking products, SmartNICs, and DPUs. They will work closely with system architects, software/firmware engineers, hardware designers, and product stakeholders to define component-level and system-level solutions for advanced datacenter platforms.

The team works at the intersection of AI networking, virtualization, operating systems, security, management, and programmable acceleration. The mission is to push the boundaries of modern datacenter infrastructure and help define the platforms of tomorrow.

Responsibilities:

• Work with architects and engineers to define software architecture for NVIDIA networking devices, SmartNICs, and DPUs.
• Analyze system requirements across networking protocols, virtualization, operating systems, security, management, and services.
• Research new ideas, evaluate design alternatives, and build proof-of-concept models, simulations, and prototypes.
• Collaborate with software, firmware, and hardware teams on HW/SW co-design, performance, scale, and resource-utilization challenges.
• Learn complex datacenter technologies and turn them into clear architecture proposals, design documents, and technical presentations.

Requirements:

• B.Sc. or M.Sc. in Computer Science, Electrical Engineering, Computer Engineering, or a related field.
• 1+ years of relevant experience.
• Proven strong programming skills, in C/C++.
• Solid understanding of operating systems, multi-threading, computer architecture, and software fundamentals.
• Curiosity and ability to learn new technologies quickly, investigate deeply, and work through ambiguous problems.
• Independent problem solver who also works well in a team environment.
• Clear written and verbal communication skills.

Preferred Qualifications:

• Knowledge of networking protocols such as Ethernet, InfiniBand, RDMA, RoCE, TCP/IP.
• Experience with Linux, Linux kernel, device drivers, embedded systems, or system software.
• Experience building simulations, performance models, prototypes, or proof-of-concept software.
• Exposure to virtualization, security, programmable acceleration, SmartNICs, DPUs, or DOCA.