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Lyte AI

Robotics perception platform with silicon-level fusion

Senior Optical Test Development Engineer

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeSunnyvale, CA, USA

About the Job

Requirements

  • A B.S. in optical engineering, photonics, physics, electrical or mechanical engineering, or a related field, or equivalent hands-on test development experience.
  • At least five years of developing automated production test equipment for optical or optoelectronic products, such as camera modules, lens assemblies, laser or photodetector modules, lidar, or other electro-optical sensors.
  • Recent hands-on factory-floor experience taking an optical tester from lab prototype into volume production at a contract manufacturer, outsourced semiconductor assembly and test provider, or supplier site, including replicating it as multiple matched stations.
  • Experience writing equipment specifications and managing an external equipment builder or test integrator through factory and site acceptance.
  • Hands-on use of optical test instruments, including modulation transfer function or resolution benches, collimators, interferometers, optical power meters, beam profilers, and spectrometers or optical spectrum analyzers.
  • Test automation programming in Python or LabVIEW; C++, C#, or MATLAB are also welcome, for instrument and motion control, data acquisition, and pass/fail logic.
  • Working knowledge of measurement system analysis and production statistics, including gauge repeatability and reproducibility, process capability indices (Cp/Cpk), and statistical process control.
  • Willingness to travel to manufacturing sites in Asia up to 25% of the time.

Responsibilities

  • Own optical testers from concept to mass production by writing equipment specifications, leading design reviews with the external tester integrator, running factory acceptance testing at the integrator and site acceptance testing at the contract manufacturer, and handing qualified stations to operations.
  • Develop each measurement method before it is specified by building lab prototypes, selecting instruments, designing opto-mechanical fixturing and motion, writing control software, and proving repeatability with gauge repeatability and reproducibility studies.
  • Deliver incoming quality control stations that screen lenses, micro-optics, optical windows, and optical subassemblies against specifications before they enter assembly.
  • Deliver outgoing quality control stations that verify optical subsystems and, where applicable, full modules before shipment, including alignment, optical power and transmittance, modulation transfer function and resolution, wavefront error, back focal distance, and stray light.
  • Set acceptance limits from optical and opto-mechanical tolerances, with process capability targets agreed with optical design and quality engineering.
  • Correlate subsystem results with systems engineering to prove they predict system performance against 4D sensing metrics, including range accuracy and precision, signal-to-noise ratio, signal intensity, and point-cloud quality.
  • Scale qualified testers across lines and sites with automation teams at contract manufacturing, outsourced semiconductor assembly and test, and final assembly partners, and prove tool-to-tool matching on each copy.
  • Maintain test-line performance in volume by training operators, writing work instructions, supporting pilot builds through ramp, and owning first-pass yield, throughput, and overall equipment effectiveness using statistical process control, root-cause analysis, and corrective and preventive action.
  • Maintain golden units, calibration standards, and traceability for all incoming and outgoing quality control equipment, and connect station data to the manufacturing execution system.
  • During the first 90 days, learn the optical subsystem and specifications, review current incoming and outgoing quality control plans and lab setups, agree on a tester roadmap with the manager, and issue the first priority tester equipment specification to the integrator.
  • By six months, ensure the first tester has passed factory acceptance testing at the integrator and site acceptance testing at the contract manufacturer, with gauge repeatability and reproducibility and correlation to lab reference data complete.
  • By 12 months, replicate qualified testers across production lines with proven tool-to-tool matching, run them in volume with yield, throughput, and overall equipment effectiveness reported, and hand daily operation to the manufacturing team.

Desired Qualifications

  • Test experience with lidar or laser transmitter and receiver optics; frequency-modulated continuous-wave or other coherent detection systems are a strong plus.
  • Camera and lens metrology experience, including distortion mapping, chief ray angle, focal length, and stray light and ghost image characterization.
  • Experience with micro-optics or active alignment processes in production.
  • Experience with manufacturing execution system integration, Semiconductor Equipment Communications Standard and Generic Equipment Model, or other shop-floor data collection systems.
  • Experience with machine vision and robotic or conveyor part handling in production test stations.
  • Experience using JMP or Minitab for data analysis and SolidWorks for fixture design.
  • Working relationships with contract manufacturing and outsourced semiconductor assembly and test partners in Taiwan or Southeast Asia.
  • An M.S. or Ph.D. in a related field.

About the Company

Lyte AI

Robotics perception platform with silicon-level fusion

Lyte AI builds an end-to-end perception stack for robots, from custom sensing silicon to software. Its LyteVision platform combines camera data, inertial measurements, and a 4D distance-velocity sensor into a single synchronized data stream at the silicon level. This reduces latency and calibration drift that can occur when stitching together separate sensors. The system is designed for industrial uses such as inspection, logistics, and manufacturing robots, and also aims to power broader Physical AI platforms. The company differentiates itself through its fully integrated, silicon-level sensor fusion and a pedigree of engineers who helped create depth sensing for devices like Face ID and Kinect, backed by substantial funding to scale silicon production and deployments. Its goal is to provide reliable, low-latency robot perception to enable scalable automation across industrial settings.

Company size
51-200
Company stage
Series C
Total funding
$272M
Headquarters
Mountain View, CA
Founded
2021

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