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  3. Optical Aligner and Test Engineer - Bangalore, India
Aeva logo

Optical Aligner and Test Engineer - Bangalore, India

Aeva
Bangalore, India
Full Time
Posted September 15, 2026
Power Generation
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Job Description

Develop robust, fast active alignment sequences and algorithms for lasers, detectors and fibers using coupling lenses and other optics.

Key Responsibilities

  • Develop robust, fast active alignment sequences and algorithms for lasers, detectors and fibers using coupling lenses and other optics.
  • Specify and build custom fixtures and high precision motor stages for achieving sub-micron precision alignment with high repeatability and reproducibility.
  • Develop robust test cases and analysis routines for screening optical modules and associated assemblies. Optimize test time, station throughput, repeatability, and measurement capability.
  • Work with external vendors to evaluate, specify, and procure advanced test and aligner solutions for the module and associated assemblies. These may include high speed active align systems, beam characterization and other optical metrology solutions.
  • Develop tests and characterize Silicon Photonics based photonic integrated circuits (PIC), lasers and optical amplifiers to support path finding programs.
  • Analyze test and manufacturing data to identify process variation, drift, and systematic failures.

Requirements

  • Experience in integrated optics product manufacturing such as LiDAR and optical transceiver.
  • MS or Ph.D. in Physics, Photonics, Optical engineering or related technical discipline.
  • Strong programming background in Python for automation. Experience with LabView and C# is also preferred.
  • Experienced with optical instrumentation such as tunable lasers, spectrum analyzers, optical powermeter, spectrum analyzer, switches, power supplies, DAQ, motorized stages and active alignment systems.
  • Familiar with interfaces and tools such as I2C, SPI, UART, JTAG, GPIB, and raspberry Pi for automation with instruments and embedded systems.
  • Experience in statistical analysis such as GR&R, correlation and DOE analysis for manufacturing process improvements using tools such as JMP.

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