Sensor Validation Engineer (Sunnyvale, CA)

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. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co .

We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. This in-office expectation does not apply to contractor positions

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 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.

We're looking for someone who has:

• 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.
  
  Experience with or knowledge of the following required:

• 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.

#LI-DNP

Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.