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Applied Intuition Posted 30+ days ago

Sensor Validation Engineer (Sunnyvale, CA)

Location

Sunnyvale, United States

On-site

Contract

Permanent

Full-time

Salary

$122–230k

Gross per year

Experience

Not specified

Job summary

Responsibilities

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet.

  • 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…
  • 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 they're looking for

  • Requires a 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

Tech stack

Read the full job posting

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