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Lyte AI

Robotics perception platform with silicon-level fusion

Director / VP - Mechanical Engineering & Product Design

Engineering LeadershipUpdated on Nov 14
Full-timeSunnyvale, CA, USA

About the Job

Requirements

  • A BS, MS, or PhD in Mechanical Engineering, Robotics, Mechatronics, Systems Engineering, or a related field.
  • At least 12 years of experience developing and shipping complex hardware systems, including at least 5 years in engineering leadership.
  • Proven experience delivering robotic, autonomous, automotive, industrial, or consumer hardware products from concept to production.
  • Deep expertise in system integration across mechanical, sensing, actuation, thermal, and embedded systems.
  • Strong background in requirements management, engineering requirement specification development, verification and validation, failure mode and effects analysis, and reliability engineering.
  • Experience leading formal hardware development review processes, including Preliminary Design Reviews, Critical Design Reviews, design freeze, and production readiness reviews.
  • Hands-on expertise with 3D computer-aided design tools such as SolidWorks, NX, CATIA, or Creo, and tolerance analysis methodologies.
  • Experience with design for manufacturing, design for assembly, and design for test for precision mechanical assemblies and high-volume manufacturing.
  • Experience integrating perception hardware, including cameras, LiDAR, radar, and inertial measurement units, into field-deployed systems.
  • Proficiency with finite element analysis, computational fluid dynamics, and multibody dynamics simulation and analysis tools.
  • Direct experience leading new product introduction and manufacturing ramp with global suppliers and contract manufacturers.
  • Strong technical leadership with the ability to remain hands-on when needed.

Responsibilities

  • Lead system-level architecture, design, and integration for robotic and Physical AI platforms across mechanical, optical, sensing, thermal, actuation, and embedded systems.
  • Own requirements decomposition, subsystem interfaces, and engineering requirement specifications across the hardware stack.
  • Drive system validation and verification, including test plans, acceptance criteria, field validation, and production qualification.
  • Establish and lead engineering review processes, including Preliminary Design Reviews, Critical Design Reviews, and Build Readiness Reviews, to ensure technical quality, cross-functional alignment, manufacturability, and execution readiness at every development stage.
  • Partner with AI and perception teams to translate autonomy and sensing requirements into hardware specifications and system constraints.
  • Lead system-level failure mode and effects analysis, risk analysis, and mitigation planning for reliability, safety, and performance.
  • Drive rapid prototyping and integration cycles to accelerate hardware iteration and deployment.
  • Own opto-mechanical integration for perception systems, including cameras, LiDAR, inertial measurement units, vibration isolation, alignment, and thermal stability.
  • Ensure mechanical excellence across structural integrity, thermal performance, ingress protection, and cable and harness management.
  • Lead design for manufacturing, design for assembly, and design for test initiatives, tolerance analysis, and simulation workflows, including finite element analysis, computational fluid dynamics, and multibody dynamics.
  • Manage new product introduction execution from Engineering Validation Test through Design Validation Test, Production Validation Test, and mass production with Tier-1 suppliers and contract manufacturers; establish the handoff process from engineering to operations at mass production.
  • Drive cost, manufacturability, and platform commonality initiatives across the hardware portfolio.
  • Build and lead a high-performing team of mechanical, systems integration, and product design engineers.

Desired Qualifications

  • Experience shipping humanoid robots, autonomous vehicles, industrial robots, or other advanced robotic systems.
  • Experience designing for dynamic loading, vibration, fatigue, ingress protection, and robotic field reliability.
  • Familiarity with automotive and functional safety standards, including IATF 16949, APQP, ISO 26262, or IEC 62061.
  • Experience managing suppliers and manufacturing partners across Asia and Europe.
  • Track record of building and scaling hardware engineering organizations from early-stage development through volume production.

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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