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.
- 5+ 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
- Experience designing or tuning congestion control, flow control, or loss recovery mechanisms in high-performance networks.
Skills Required
- Bachelor's or Master's degree in Electrical Engineering or Computer Science
- 5+ years of development experience
- Knowledge of RDMA development (RoCE and/or InfiniBand) across software, firmware, or hardware
- Proficiency in C/C++
- Embedded systems programming experience
- Strong problem-solving skills and ability to dive deep into the RDMA stack
- Excellent collaboration and interpersonal skills; high energy and can-do attitude
- Background with data center networking and storage workloads
- Familiarity with Ethernet technologies
- Experience designing or tuning congestion control, flow control, or loss recovery mechanisms
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.
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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.
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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.
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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.
NVIDIA Insights
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.”
