Sensor Validation Engineer (Sunnyvale, CA)

The role

This person will lead sensor validation and characterization for Sensor Simulation and Self-Driving System products. They will work across the Automotive, Trucking, and Construction & Mining industries.

What you will do

• Lead sensor validation and characterization for Sensor Simulation and Self-Driving System (SDS) products.
• Execute validation and characterization protocols for Lidar, Radar, Camera, and Ultrasonic sensors.
• Improve the fidelity and accuracy of synthetic simulations by developing and refining Machine Learning (ML) and physical models.
• Conduct physical sensor performance validation for Self-Driving System (SDS) stacks.
• Collaborate with engineering teams to bridge the gap between physical sensor data and synthetic model development.

Required 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 job offered or any occupation in which the required experience was gained
• 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 command-line interface (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

About the company

Applied Intuition, Inc. is a Silicon Valley company creating digital infrastructure for physical AI. It services the automotive, defense, trucking, construction, mining and agriculture industries.