As a Test Engineer focused on MicroLED Display Manufacturing, you will be responsible for the qualification, deployment, and ongoing support of microLED and display panel test systems. You will collaborate with cross-functional teams to validate new testing capabilities and provide critical data for both engineering and production. You will work closely with our test engineering and operations teams to optimize test time, extend capabilities, expand capacity, and reduce costs for production test plans.
Google's Raxium display group has established a revolutionary semiconductor materials display technology that enables new functionality in display products, bringing to users a closer and more natural linkage between the digital and physical realms in applications such as augmented reality (AR) and light-field display. With start-up roots and a state-of-the-art compound semiconductor fab in Silicon Valley, Raxium is seeking to build upon its engineering team with an aim to disrupt next-generation display markets.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $159000 - $231000 (USD) + 15% bonus target + bonus + equity + benefits
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benefits at Google.
Minimum qualifications:
- Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field (e.g., Optics, Sensors, Audio/DSP, etc.), or equivalent practical experience.
- 4 years of experience in optoelectronics test, display metrology, or semiconductor manufacturing environment.
- 4 years of experience deploying, validating, and debugging semiconductor hardware test systems.
- 4 years of experience writing and debugging test system software.
- Experience scripting in SQL or Python.
Preferred qualifications:
- Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field (e.g., Optics, Sensors, Audio/DSP).
- Experience working with Contract Manufacturers (CMs) or managing remote test fleets in high-volume manufacturing environments.
- Experience in Python and SQL for building automated data pipelines, tool deployment scripts, or system monitoring dashboards.
- Experience in automating manual engineering workflows (e.g., automated Gauge Repeatability and Reproducibility (R&R), one-click Software deployment) to drive operational scalability.
- Experience mentoring engineers and influencing cross-functional partners to align on test strategies.
- Ability to lead complex technical projects with high ambiguity and shifting priorities.