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NVIDIA

Designs the chips and software that power AI

Senior Software Engineer - Networking

Systems Software EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedRemote

About the Job

Requirements

  • Bachelor's degree or higher in Computer Science, or equivalent experience.
  • 8+ years of proven experience in the field.
  • Native C programming experience.
  • Experience with Linux kernel-level programming.
  • Deep understanding of networking drivers and software/hardware interaction, including device drivers, Linux kernel internals, and userspace/kernel interactions.
  • Strong networking knowledge, including TCP/IP, L2/L3 protocols, and network device driver architecture.
  • Proficiency in data structures and operating systems internals.
  • Previous experience with the upstream Linux kernel community and open-source contribution.
  • Hands-on expertise with RDMA and RoCE.

Responsibilities

  • Develop high-quality code for the Linux kernel and open-source environments, contributing to the upstream kernel community.
  • Collaborate and debug with teams across the globe to provide networking solutions for customers.
  • Drive complex technical issues to closure that may occur across team boundaries.
  • Lead the complete engineering process, including refining requirements, building data structures and algorithms, implementation, peer review, developer testing, and post-GA support.
  • Work in a fast-paced environment of continuous development and deployment cycles.
  • Craft and implement Linux kernel networking drivers for NVIDIA ConnectX and BlueField network adapters, as well as userspace libraries.

Desired Qualifications

  • A Master's degree or similar experience in Computer Science is advantageous.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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