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NVIDIA

Designs the chips and software that power AI

Senior Software Engineer

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

About the Job

Requirements

  • A B.Sc. or M.Sc. degree in Computer Engineering, Computer Science, or a related field, or equivalent experience.
  • At least 5 years of software development experience in areas such as data forwarding, network functions virtualization, software-defined networking, kernel and container networking, SmartNICs, and offload solutions.
  • Strong, validated experience in C programming.
  • Strong technical abilities in problem-solving, design, coding, and debugging.
  • Ability to lead feature development, own tasks from start to finish, and deliver independently with minimal supervision.
  • Ability to quickly understand new requirements and technologies and rapidly prototype and implement solutions.

Responsibilities

  • Design, develop, test, and maintain new functionality and improvements related to offloading networking services.
  • Design, develop, test, and maintain system software components related to networking.
  • Work on data forwarding functionality on Ethernet switching platforms.
  • Lead and guide cross-functional teams on large feature development activities.
  • Collaborate with team members, architects, quality assurance, and support teams on feature definition, development, release, and bug fixing.

Desired Qualifications

  • Experience in virtualized networking and SR-IOV, and packet processing using Open vSwitch.
  • Background in Linux kernel networking internals.
  • Knowledge of routing and control plane technologies such as EVPN, Segment Routing, and PIC.
  • Participation in the open-source community.
  • Python, C++, and Rust programming skills.

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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