N

NVIDIA

Designs the chips and software that power AI

Interconnect Hardware Characterization Engineer

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeYokne'am Illit, IsraelNo salary listedIn-person

About the Job

Requirements

  • A BSc in Computer Science, Electrical Engineering, or a related field is required.
  • At least 3 years of related experience in electronics development or integration is required.
  • Experience developing in Python, including accessing and controlling ICs and MCUs over I2C, is an advantage.
  • Experience integrating hardware products and using hardware laboratory measurement equipment is required.
  • Hands-on experience collaborating with global, cross-functional teams is required.

Responsibilities

  • Characterize advanced interconnect products and develop their test processes.
  • Develop and bring up advanced hardware test solutions for next-generation interconnect products.
  • Develop embedded software capability packages to support advanced power components and digital and analog ICs.
  • Work with multidisciplinary design and analysis teams on bring-up, performance optimization, and seamless production integration.
  • Lead test-solution innovations to reduce test time and costs and improve product quality.
  • Develop software solutions to identify, debug, and resolve problems in production and bring-up processes.
  • Collaborate with overseas manufacturing and mass-production teams to improve yield, test coverage, and capacity, and to resolve production issues.
  • Lead studies of product behavior under a wide range of system and environmental conditions.

Desired Qualifications

  • Knowledge of silicon photonics, retimers, PAM4, and high-speed communication architectures.
  • Familiarity with hardware test development, mass-production testing, and qualification test processes.
  • Strong programming, hardware/software debugging, and analysis 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

Recently Posted Jobs

Explore more opportunities at NVIDIA

See more jobs