Lead the development of optical module test stations and robust testing methods while optimizing high volume manufacturing processes for advanced LiDAR technologies.
About us:
Aeva’s mission is to bring the next wave of perception to a broad range of applications from automated driving to industrial robotics, consumer electronics, consumer health, security, and beyond. Aeva is transforming autonomy with its groundbreaking sensing and perception technology that integrates all key LiDAR components onto a silicon photonics chip in a compact module. Aeva 4D LiDAR sensors uniquely detect instant velocity in addition to 3D position, allowing autonomous devices like vehicles and robots to make more intelligent and safe decisions.
Role Overview:
We are looking for an optical module test development engineer to join our test engineering team!
What you'll do:
Lead the development of test stations used in the Lidar and other sensors manufacturing line, for optical modules and associated assemblies.
Develop robust test methods and analysis routines for screening the modules and assemblies.
Work with Contract Manufacturers (CM) to install and optimize stations for high volume manufacturing.
Work with the engineering teams to periodically review and add test coverage and improve test throughput.
Work with external vendors to evaluate, specify, and procure advanced test solutions for the module and associated assemblies.
Responsible for Silicon Photonics characterization and photonic integrated circuits (PIC) at the wafer, chip, and module levels to support path finding programs.
What you have:
5+ years of experience with Silicon Photonics, laser, or related photonics product development.
MS or Ph.D. in Physics, Photonics, Optical engineering or related technical discipline
Experienced with optical instrumentation and alignment systems
Strong experience using Python for test automation and with data structures.
Experience in communication protocols such as I2C, SPI, UART,JTAG protocols for interfacing with embedded systems.
Experience with JMP and database tools to perform statistical analysis for GR&R, correlation analysis for manufacturing processes.
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