Software Engineer, RDMA Transport

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2 Locations
In-Office
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role

We are seeking a Networking Software Engineer to join our RDMA Transport Software team, driving the development of next-generation RDMA solutions for AI, cloud, HPC, and storage. You will research and develop innovative transport algorithms that push the limits of performance and scalability.  You will work in a fast-paced, collaborative environment alongside talented engineers from around the world, supporting the data needs of the world’s largest enterprises 

What you'll be doing:

  • Take part in research, design, and development of advanced RDMA transport mechanisms and algorithms, enhancing performance, reliability, and scalability.

  • Collaborate closely with hardware engineers, software developers, and system architects to align on project objectives and requirements.

  • Keep up with industry trends and emerging technologies, integrating new ideas and innovations into the development process

What we need to see:

  • Bachelor's or Master's degree in Electrical Engineering or Computer Science fields from a known institute.

  • 2+ years of development experience

  • Knowledge with RoCE and/or InfiniBand, along with a background in RDMA development across software, firmware, or hardware.

  • Strong problem-solving skills with a hands-on approach, able to dive deep into the RDMA stack and solve complex issues.

  • Proficiency in C/C++ and embedded systems programming.

  • Fast learner possessing the ability to learn complex concepts in a fast-paced environment.

  • A can-do attitude and high energy with excellent collaboration, and social skills.

Ways to stand out from the crowd:

  • Background with data centers networking & storage workloads (advantage).

  • Familiar with RDMA, InfiniBand, or Ethernet technologies

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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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