Software Architect, AI Networking

Posted 2 Days Ago
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5 Locations
In-Office
Mid level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design and implement C/C++ infrastructure and embedded software for programmable RDMA protocols in AI networking. Build proofs-of-concept, run performance experiments and modeling, collaborate with hardware/firmware/compiler/SDK teams, and produce technical design docs and test results to advance scalable AI networking solutions.
Summary Generated by Built In

NVIDIA seeks a highly motivated Software Architect to join our Networking Software Architecture team in Israel. In this role, you will work on innovative technologies shaping the future of AI cloud systems and RISC-V networking accelerators.

We develop RDMA transport protocols and low-level software within the Networking team. Efficient and fast communication between GPUs directly impacts end-to-end AI application performance an impact that continues to grow with the increasing scale of next-generation systems. In this role you will help design infrastructure, build proofs-of-concept, and evaluate protocol performance to deliver platforms the world has never seen before.

What You'll Be Doing

  • Design & Software Development: Help build and maintain C/C++ infrastructure, embedded software components, and runtime environments supporting programmable RDMA protocols for the East/West (E/W) AI networking stack.
  • PoC & Quantitative Modelling: Build proofs-of-concept, conduct hands-on experiments, and perform quantitative modelling to evaluate performance and drive new networking innovations.
  • Cross-Functional Collaboration: Partner with hardware, firmware, architecture, compiler, and SDK teams to lead cross-stack innovations and integrate scalable networking solutions.
  • Documentation & Technical Clarity: Craft, refine, and maintain technical design documents, test results, and specs to effectively engage with a globally distributed engineering team.

What We Need to See

  • Education: Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
  • Experience: 0-5 years of experience in low-level software development, networking, or systems programming.
  • Core Skills: Strong proficiency in C and/or C++ and solid system-level debugging skills.
  • Networking & System Foundations: Background or coursework in computer architecture, operating systems, and networking protocols (e.g., TCP/IP, RDMA, or InfiniBand fundamentals).
  • Communication: Strong articulation skills for crafting clear technical documentation and collaborating across global engineering teams.
  • Mindset: Curiosity, strong problem-solving abilities, and an eagerness to constantly learn and improve your technical expertise.

Ways to Stand Out from the Crowd

  • Hands-on experience or academic projects focusing on RDMA, InfiniBand, SmartNICs, or packet processing.
  • Familiarity with RISC-V execution environments, RTOS, board bring-up, or driver development.
  • Practical experience with Linux kernel development, network simulation tools, or performance profiling.

Skills Required

  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
  • 0-5 years of experience in low-level software development, networking, or systems programming.
  • Strong proficiency in C and/or C++ and solid system-level debugging skills.
  • Background or coursework in computer architecture, operating systems, and networking protocols (e.g., TCP/IP, RDMA, InfiniBand).
  • Strong written and verbal communication skills for technical documentation and global collaboration.
  • Hands-on experience or academic projects focusing on RDMA, InfiniBand, SmartNICs, or packet processing.
  • Familiarity with RISC-V execution environments, RTOS, board bring-up, or driver development.
  • Practical experience with Linux kernel development, network simulation tools, or performance profiling.

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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.”

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