About 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.
- 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.
Aplyr's read
NVIDIA is a pioneering force in GPUs and AI, attracting top talent in engineering and innovation-driven roles across various tech domains.
What's promising
- •NVIDIA leads the GPU market, crucial for gaming and AI applications.
- •The company invests heavily in AI and deep learning, driving technological advancements.
- •NVIDIA's strong market position offers stability and growth opportunities for employees.
What to watch
- •High competition in the semiconductor industry can impact market share.
- •Rapid technological changes require constant adaptation and learning.
- •Intense workload and high expectations may affect work-life balance.
Why NVIDIA
- •NVIDIA's GPUs are industry benchmarks in gaming and professional graphics.
- •The company's AI research is at the forefront of deep learning innovation.
- •NVIDIA's culture emphasizes cutting-edge technology and engineering excellence.
Aplyr’s read is generated by AI from public sources. Was it useful?
About NVIDIA
NVIDIA is a leading technology company known for its graphics processing units (GPUs) for gaming and professional markets, as well as its advancements in artificial intelligence and deep learning.
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