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Lyte AI

Robotics perception platform with silicon-level fusion

Optical System Integration Engineer

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeSunnyvale, CA, USA$110k - $170k /yrIn-person

About the Job

Requirements

  • A Bachelor of Science or Master of Science in Optical/Photonics Engineering, Electrical Engineering, Physics, Applied Physics, or a related engineering field.
  • Strong understanding of optical fundamentals, including geometric optics, lenses, imaging, Gaussian beams, diffraction, and basic physical optics.
  • Demonstrated hands-on technical aptitude through laboratory coursework, research, internships, engineering projects, or previous employment.
  • Comfort working with physical hardware and performing iterative setup, measurement, alignment, and debugging.
  • Experience with or strong interest in free-space optical alignment; lenses and opto-mechanical components; laser alignment and beam collimation; photodetectors and optical power measurements; optical and electrical laboratory instrumentation; and optical systems in sensing applications.
  • Working knowledge of Python, particularly for scientific computing, data analysis, or laboratory automation.
  • Ability to analyze experimental data, identify trends or anomalies, and develop hypotheses based on measurement results.

Responsibilities

  • Build, align, and characterize optical laboratory setups and optical subsystems.
  • Support testing and validation of optical components and subsystems, including lenses, windows, mirrors, lasers, detectors, and related opto-mechanical assemblies.
  • Perform optical alignment tasks, including free-space alignment, beam collimation, focusing, and optimization of optical paths.
  • Execute optical characterization and system-level test procedures and analyze the resulting data.
  • Develop Python scripts for instrument control, test automation, data processing, visualization, and analysis.
  • Assist with development and validation of new sensor prototyping and manufacturing processes.
  • Support optical subsystem bring-up, integration, validation, and troubleshooting.
  • Investigate unexpected system behavior using experimental data and fundamental engineering principles.
  • Perform measurements and characterization of optical performance, including beam profile, M², wavefront error (WFE), and other relevant optical metrics.
  • Work with cross-functional engineering teams, including electrical, firmware, digital signal processing, software, and mechanical engineering.
  • Document experimental setups, procedures, results, and conclusions clearly.
  • Participate in failure analysis and root-cause investigations with experienced engineers.
  • Propose improvements to optical setups, test methods, automation, and measurement techniques.

Desired Qualifications

  • Experience with Python libraries such as NumPy, SciPy, pandas, and Matplotlib.
  • Experience with automated test equipment and instrument communication/control.
  • Experience with passive or active integrated photonics testing.
  • Basic analog and digital electronics and ability to interpret circuit schematics or system block diagrams.
  • Experience with optical simulation or design tools such as Zemax OpticStudio, Code V, or similar software.
  • Experience with FPGA or SoC-based hardware platforms.

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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