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NVIDIA

Designs the chips and software that power AI

Firmware Engineer - Ethernet Switching

Embedded EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least 2 years of proven experience developing firmware for embedded systems.
  • At least 2 years of experience with C/C++ in real-time embedded systems; C is preferred.
  • A BS in Computer Science, Computer Engineering, or Electrical Engineering, or equivalent experience.
  • Proven expertise with networking protocols at layers 2, 3, and 4.
  • Strong technical debugging skills in embedded systems.
  • Familiarity with ASIC development processes and code execution on FPGA.
  • Previous experience working with networking products such as network adapters or switches is preferred.
  • Patents in networking, communication protocols, ASIC design, computer architecture, or related fields are desirable.
  • Journal publications, conference papers, and strong referrals are desirable.

Responsibilities

  • Participate in the full software development process, from architecture through integration testing, for firmware in the Spectrum ASIC product line.
  • Work with hardware and ASIC teams to provide insights into developing next-generation silicon and systems.
  • Design and implement algorithms to improve system scale and performance.
  • Work with higher-layer software teams to debug issues reported by internal and external customers.
  • Design, implement, and integrate new features according to the product roadmap.
  • Collaborate with NVIDIA research and development teams around the globe.

Desired Qualifications

  • Previous experience working with networking products such as network adapters or switches.
  • Patents in networking, communication protocols, ASIC design, computer architecture, or related fields.
  • Journal publications, conference papers, and strong referrals.

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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