Manufacturing Test Engineer

World leader in GPU computing, artificial intelligence, high-performance computing, computer gaming, and autonomous technologies.
$128,000 - $201,250
Backend
Senior Software Engineer
In-Person
5+ years of experience
AI · Gaming · Enterprise SaaS

Description For Manufacturing Test Engineer

NVIDIA, the world leader in GPU computing and AI, is seeking a Manufacturing Test Engineer to join their SLT Manufacturing Team. This role is crucial in testing GPUs and SoCs shipped to customers worldwide. The position offers a competitive salary range of $128,000 - $201,250 USD, along with equity and comprehensive benefits.

The role involves working in a dynamic manufacturing environment, where you'll be responsible for maintaining and optimizing test stations for high-volume testing. You'll lead the development of Tester and Cooling solutions, collaborate with engineering teams on system integration, and develop automation tools for testing processes.

Key responsibilities include debugging test stations, performing system-level failure analyses, and designing DOEs for production environment issues. The ideal candidate will have 5+ years of experience in semiconductor testing, strong programming skills in Python and Linux, and excellent analytical abilities.

This position offers an opportunity to work with cutting-edge technology in AI, gaming, and high-performance computing. You'll be part of a team that's transforming industries through accelerated computing and innovative solutions. The role combines hands-on technical work with collaborative problem-solving, making it ideal for someone who enjoys both practical engineering and teamwork.

NVIDIA offers a competitive compensation package, including equity and comprehensive benefits. The company values diversity and maintains an inclusive work environment, making it an excellent choice for professionals looking to advance their careers in semiconductor testing and automation.

Last updated 3 months ago

Responsibilities For Manufacturing Test Engineer

  • Run and maintain production test stations for high-volume testing
  • Lead development and maintenance of Tester and Cooling solutions
  • Collaborate with engineering teams on system integration
  • Debug test stations and perform system/chip-level failure analyses
  • Develop scripts and tools for test automation
  • Design and execute DOEs in production environment
  • Build and maintain process documentation

Requirements For Manufacturing Test Engineer

Python
Linux
  • Bachelor's degree in Electrical engineering, Automation Engineering, Computer Engineering, or related field
  • 5+ years of experience in semiconductor testing/electronic manufacturing
  • Strong background in Python, Shell scripting in Linux and C#
  • Knowledge in test equipment assembly and engineering drawings
  • Proficiency in test data analysis and statistical tools
  • Strong sense of Test Automation and Active thermal control

Benefits For Manufacturing Test Engineer

Equity
  • Equity
  • Competitive salaries
  • Benefits package

Interested in this job?

Jobs Related To NVIDIA Manufacturing Test Engineer

Senior ASIC Front End Infrastructure Engineer

Senior ASIC Infrastructure role at NVIDIA focusing on RTL/Verification infrastructure development for GPUs, requiring 8+ years of experience and strong technical expertise.

Senior Software Engineer - Data Center System Bringup

Senior Software Engineer role at NVIDIA focusing on data center system bringup and debugging for GPU accelerated applications.

Senior NVLink System Software Bringup Engineer - Fabric Networking GPU

Senior software engineering role at NVIDIA focusing on NVLink system software development and bringup for datacenter platforms, requiring 5+ years of experience.

Senior HPC Performance Engineer

Senior HPC Performance Engineer role at NVIDIA focusing on GPU communications libraries and networking for deep learning and high-performance computing applications.

Senior ASIC Timing Engineer

Senior ASIC Timing Engineer role at NVIDIA focusing on timing analysis and closure for GPUs, CPUs, and DPUs, offering competitive compensation and opportunity to work on cutting-edge technology.