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NVIDIA

Designs the chips and software that power AI

Test Engineer

Quality EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listedRemote

About the Job

Requirements

  • Bachelor's degree in Electrical Engineering, Electronic Engineering, Mechanical Engineering, or a related field.
  • 5+ years of experience in the semiconductor or electronics manufacturing industry.
  • Strong background in ATC thermal solutions, as well as test hardware and software development is highly preferred.
  • Proficiency in Linux shell scripting/Python/SQL, and AI tools for automation and data analysis.
  • Strong troubleshooting and debugging skills in hardware, software, and manufacturing test environments.
  • Experience with System-Level Test (SLT), New Product Introduction (NPI), high-volume manufacturing, or production test operations is preferred.
  • Excellent analytical, problem-solving, and communication skills, with the ability to work effectively in a cross-functional environment.
  • Hands-on experience with Allegro or similar schematic capture and PCB design tools is a plus.
  • Hands-on experience with Creo or similar mechanical CAD software for engineering drawings and fixture design is a plus.

Responsibilities

  • Support all SLT NPI manufacturing and engineering activities in production floor, from product bring-up through mass production.
  • Develop and improve automated test systems and thermal solutions for System-Level Testing (SLT).
  • Perform test station setup, hardware configuration, qualification, and maintenance for NPI and production.
  • Collaborate with cross-functional teams and vendors on the design, development, and validation of test equipment.
  • Plan and execute Design of Experiments (DOE) to identify root causes and resolve production issues.
  • Collect, analyze, and interpret manufacturing data to drive yield and productivity improvements.
  • Provide frontline engineering support to production operations and troubleshoot test-related issues in real time.
  • Develop and maintain test programs and tools for system-level and chip-level debugging, validation, and failure analysis.
  • Leverage the latest AI technologies to improve testing efficiency, automate workflows, enhance data analysis, and drive quality improvements.

Desired Qualifications

  • Solid hardware and software development and debug skills
  • Excellent analytical and problem-solving skills
  • Strong knowledge of manufacturing processes and automation
  • Demonstrated engineering expertise through hands-on experience
  • Able to work under pressure in production environment

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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