Sensor Validation Engineer (Sunnyvale, CA)

Applied Intuition • Sunnyvale, CA

8d • $122,158 - $230,000 • Onsite

About The Position

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.

Requirements

• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level