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Sensor Validation Engineer (Sunnyvale, CA)

Applied Intuition· Dana for Physical AI
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Sunnyvale$122.2k - $230kFull-timePosted 1mo ago

About the role

Lead sensor validation and characterization for Sensor Simulation and Self-Driving System (SDS) products across the Automotive, Trucking, and Construction & Mining industries. Execute validation for Lidar, Radar, Camera, and Ultrasonic sensors; improve synthetic simulations with ML and physical models; perform physical sensor validation for SDS stacks; collaborate to ensure high-accuracy perception for autonomous systems.

Responsibilities

  • Lead sensor validation and characterization for Sensor Simulation and Self-Driving System (SDS) products across the Automotive, Trucking, and Construction & Mining industries.
  • Execute validation and characterization protocols for Lidar, Radar, Camera, and Ultrasonic sensors to ensure performance accuracy across diverse operating environments.
  • Improve the fidelity and accuracy of synthetic simulations by developing and refining Machine Learning (ML) and physical models of sensing systems, materials, and world environments.
  • Conduct physical sensor performance validation for Self-Driving System (SDS) stacks, comparing physical hardware data against simulated models.
  • Collaborate with engineering teams to bridge the gap between physical sensor data and synthetic model development to ensure high-accuracy perception for autonomous vehicles.

Qualifications

  • Bachelor’s or foreign degree equivalent in Electrical Engineering, Mechanical Engineering, Robotics Engineering, or related field
  • At least three (3) years of experience in the relevant field
  • Python for data analysis, automation of sensor validation test suites, and processing large-scale datasets from autonomous vehicle sensors
  • Sensor Validation and characterization, including analyzing performance metrics for sensing modalities such as Cameras, Lidar, or Radar under diverse environmental conditions
  • Linux/Unix environment, including CLI navigation, shell scripting (Bash), and managing software dependencies for autonomous system stacks
  • Sensor driver development, including the ability to utilize UDP architectures to parse and extract raw sensor data for performance analysis.

Skills

Required:PythonSensor validation and characterizationLinux/UnixSensor driver development
Last updated Oct 11, 2026. Interested? Apply on the company site.

About Applied Intuition

Building vehicle intelligence | Applied Intuition

Applied Intuition is the vehicle intelligence company with the tools, Vehicle OS, and autonomy stacks for creating safe, AI-powered vehicle experiences.

AIAutonomy stacksSelf-Driving SystemSimulationTesting & ValidationVehicle IntelligenceVehicle OSai-infrastructure-and-development
Company profileWebsite

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