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Lyte AI

Robotics perception platform with silicon-level fusion

Senior System on Chip Architect

Silicon & ASIC DesignConfirmed live in the last 24 hours
Full-timeSunnyvale, CA, USAIn-person

About the Job

Requirements

  • A bachelor's degree in Electrical Engineering, Computer Science, or a closely related field.
  • A minimum of 10 years of experience in silicon design, verification, or similar roles.
  • A minimum of 5 years of experience in silicon architecture roles.
  • Experience defining and designing embedded SoC chips.
  • Strong analytical, debugging, and problem-solving capabilities.
  • Excellent written and verbal communication skills.
  • Ability to work effectively across multidisciplinary engineering teams.

Responsibilities

  • Study the system requirements for Lyte’s custom SoC and how it behaves in the system.
  • Define, review, and document the SoC requirements to meet the system requirements.
  • Research available intellectual property and technology from vendors and partners and assess how they fit.
  • Define, document, and maintain project requirements and any custom logic required in the project.
  • Participate in design reviews and approve the implementation.
  • Participate in test plan reviews and define required coverage and performance.
  • Define silicon bring-up flows and test plans.
  • Participate in silicon and system bring-up and debugging.

Desired Qualifications

  • Experience with Arm embedded cores and SoC components.
  • Experience with SoC Network on Chip (NoC) and coherent fabric design.
  • Experience with embedded SoC products such as automotive systems, IoT, robotics, and sensor platforms.
  • Experience developing computer vision and machine learning systems.

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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