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Lyte AI

Robotics perception platform with silicon-level fusion

Optical Components Engineer

Hardware EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A Master of Science, Ph.D. in Optical Engineering, Photonics, Physics, or a related field, or equivalent practical experience.
  • At least 5 years of experience in optical component engineering, supplier engineering, or production-oriented optical design with precision optics such as lenses, prisms, windows, waveplates, or coated optics.
  • Proven experience managing optical vendors from request for quotation through qualification and volume delivery, including schedule recovery when delivery slips.
  • Deep working knowledge of optical component specifications and fabrication, including drawings, surface form, wavefront, centration, wedge, scratch-dig, thin-film coatings, optical glass and crystal materials, and the tolerance capabilities of grinding, polishing, molding, and coating processes.
  • Hands-on optical simulation experience with Zemax OpticStudio or Code V, including tolerancing, sensitivity, and Monte Carlo analysis, and ability to turn results into component specifications.
  • Hands-on optical metrology experience with Fizeau interferometers, MTF benches, spectrophotometers, autocollimators, and profilometers, including gauge repeatability and reproducibility and cross-site measurement correlation.
  • Experience planning and running optical-component reliability qualification, including environmental stress and lifetime testing, coatings, and analysis of post-test optical and cosmetic degradation.
  • Data analysis skills using Python, MATLAB, or JMP to work with vendor and in-house test data at volume.
  • Willingness and ability to travel between the United States and vendor sites in Taiwan and across Asia, up to approximately 25%.

Responsibilities

  • Own the optical component supply base by identifying, assessing, qualifying, and managing vendors for lenses, prisms, windows, waveplates, and coatings; run technical reviews and capability assessments; and lead second-source qualification with procurement and quality.
  • Drive component specification convergence from first draft to signed-off drawing, covering surface form and irregularity, transmitted wavefront error, centration and wedge, dimensional and angular tolerances, coating reflectance and transmittance, laser damage threshold, scratch-dig, and environmental requirements; align optical design, mechanical, systems, and vendor manufacturability, close open items, and freeze specifications on schedule.
  • Build and maintain the flow-down from system-level 4D FMCW lidar performance—including range accuracy and precision, signal-to-noise ratio, signal intensity, and point-cloud quality—to component tolerances; use sensitivity and tolerance analysis to identify significant parameters and opportunities to release margin to improve cost and yield.
  • Own component build plans and delivery commitments across prototype, EVT/DVT/PVT, and volume ramp; track work in progress, yield, and vendor capacity; flag risks early; and drive recovery plans with procurement and new product introduction program management.
  • Define vendor outgoing inspection and test plans, including measurement methods, sampling, and data reporting formats; audit vendor metrology and ensure vendor data is process-capability-index capable and delivered with every shipment.
  • Define incoming inspection and engineering characterization at Lyte, including interferometry, modulation transfer function, spectral transmittance and reflectance, polarization, and dimensional metrology; partner with test engineering on incoming quality control stations, maintain golden samples, and demonstrate vendor-to-Lyte measurement correlation.
  • Define and own reliability qualification for each optical component, including environmental and lifetime test plans covering thermal cycling and shock, damp heat and humidity, vibration and mechanical shock, coating adhesion and durability, laser damage, and ultraviolet and solar exposure aligned to automotive and lidar product requirements.
  • Execute reliability tests at supplier sites, internal labs, or external test labs as appropriate; own pass/fail disposition, failure analysis, vendor corrective action, and ongoing production reliability monitoring.
  • Model components and subassemblies in Zemax OpticStudio or Code V, including tolerancing, Monte Carlo, polarization, stray light, and ghost analysis; compare measured and simulated performance to root-cause shortfalls and build reusable models and methods for the wider team.
  • Lead failure analysis on component non-conformances, drive corrective action with vendors, and support material review board and deviation decisions with data.
  • Own component documentation, including drawings, specifications, test methods, the approved vendor list, and engineering change order/product change notification control.
  • Collaborate across optical design, systems, mechanical, new product introduction, quality, and procurement; travel to vendor sites in Asia to support qualification, issue resolution, and ramp.

Desired Qualifications

  • Experience with lidar, FMCW, or coherent detection systems and near-infrared optics.
  • Experience with polarization optics, including waveplates, polarizing beam splitters, and prism assemblies, and optical bonding processes.
  • Stray light analysis experience with FRED, LightTools, or ASAP.
  • Supplier quality practices; automotive supply chain experience is a strong plus.
  • Knowledge of automotive reliability standards and reliability statistics, including Weibull and acceleration models, and experience managing external test labs.
  • Track record of second-sourcing and cost reduction through specification optimization.
  • Prior working relationships with optics vendors in Asia.

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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