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Lyte AI

Robotics perception platform with silicon-level fusion

Test Systems Design Engineer - Optical Subsystem IQC/OQC & Automation

Hardware Validation & TestingUpdated on Nov 13
Full-timeSunnyvale, CA, USA

About the Job

Requirements

  • A master's or Ph.D. in Optical Engineering, Photonics, Electrical Engineering, Mechanical Engineering, Physics, or a related field, or equivalent practical experience.
  • At least five years of experience designing automated test equipment or test fixtures for optical, optoelectronic, or opto-mechanical products such as camera modules, lens assemblies, laser or photodetector modules, lidar, or other electro-optical sensors.
  • Hands-on experience with optical test instrumentation, including MTF/resolution benches, interferometers, collimators, optical power meters or optical spectrum analyzers, and beam profilers.
  • Proficiency in test-automation programming using Python and/or LabVIEW; C++, C#, or MATLAB are also welcomed, for instrument control, data acquisition, pass/fail decision logic, and integration of precision motion control into test fixtures.
  • Working knowledge of lens and optical assembly specifications, including MTF, distortion, focal length, back focal distance, and chief ray angle, as well as opto-mechanical tolerancing.
  • Demonstrated experience taking a tester from laboratory prototype into production at a vendor, contract manufacturer, or outsourced semiconductor assembly and test site, including replicating it as multiple matched tools, proving tool-to-tool correlation, and handing it off to operations for mass production.
  • Willingness and ability to travel between US and Asia manufacturing sites, including contract manufacturer, outsourced semiconductor assembly and test, and assembly house facilities, to support tester bring-up, duplication, and volume ramp, up to approximately 25%.

Responsibilities

  • Design and build automated incoming quality control stations engineered for high-volume production to screen incoming optical components, including macro lenses, optical windows, and sub-assemblies, against company specifications before assembly.
  • Design and build automated outgoing quality control stations to verify outgoing optical subsystem performance and, as scope requires, fully assembled system modules before shipment, including alignment, optical power and transmittance, MTF/resolution, wavefront error, back focal distance, and stray light.
  • Architect full test systems, including opto-mechanical fixturing, motion stages, precision instrumentation, machine vision for alignment and defect detection, and robotic or conveyorized part handling.
  • Develop station-control and data-acquisition software in Python, LabVIEW, and/or C++ to sequence measurements, apply pass/fail criteria, log data, and interface with the Manufacturing Execution System.
  • Translate optical and opto-mechanical design tolerances into measurable test coverage, acceptance criteria, and Cp/Cpk-capable test methods.
  • Correlate subsystem-level optical results with system-level 4D FMCW lidar performance, including range accuracy and precision, signal-to-noise ratio, signal intensity, and point-cloud quality, in partnership with systems and lidar performance engineering.
  • Scale qualified testers across lines and sites. Partner with automation engineering departments at contract manufacturers, outsourced semiconductor assembly and test providers, and assembly houses to duplicate hardware, fixtures, and software, and prove tool-to-tool matching and correlation across each copy.
  • Deploy testers at partner sites across Asia, train operators, write work instructions, and support pilot builds through high-volume ramp.
  • Own ongoing test-line health, including first-pass yield, throughput, and overall equipment effectiveness, using root-cause analysis, statistical process control, and corrective and preventive action on optical test failures.
  • Maintain golden units, calibration standards, and traceability for all incoming and outgoing quality control equipment, including calibration schedules and gauge repeatability and reproducibility.
  • Collaborate across optical, mechanical, electrical, firmware, and quality engineering from new product introduction through second-source qualification and full-scale volume production.

Desired Qualifications

  • Direct experience testing lidar, camera, or laser transmitter/receiver optical engines; FMCW or coherent detection systems are a strong plus.
  • Experience defining incoming and outgoing quality control processes with statistical process control, Cp/Cpk-based acceptance criteria, gauge repeatability and reproducibility, and golden-unit and calibration traceability in a manufacturing environment.
  • Familiarity with Manufacturing Execution System integration, SECS/GEM, or shop-floor data collection systems.
  • Experience with machine vision and robotic or conveyorized part handling integrated into production test fixtures.
  • Experience with camera or lens incoming quality control test benches, including resolution/MTF charts, distortion mapping, and stray-light and ghost-image characterization.
  • Background in wafer-level or die-level optical/photonic test, chip-on-carrier test, or burn-in test.
  • Experience with statistical and data analysis tools such as JMP, Minitab, or Python, and CAD tools such as SolidWorks for fixture design.
  • Prior working relationships with Taiwan-based contract manufacturing and outsourced semiconductor assembly and test partners.

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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