Joblaze summary

In this role, the Sensor Validation Engineer leads the validation and characterization of various sensors, including Lidar and Radar, to ensure their performance in self-driving systems across multiple industries. Proficiency in Python for data analysis, along with experience in sensor validation and Linux environments, is essential for success. This position is ideal for candidates with a background in engineering and at least three years of relevant experience, particularly those looking to contribute to cutting-edge technology in autonomous vehicles.

Joblaze insights

Listed about a month ago — first seen on Joblaze September 5, 2026. Last confirmed on Applied Intuition's careers page November 2, 2026.
Python appears in 49.4% of 466 comparable mid ai/ml roles in United States; LiDAR appears in 0.2% of 466 comparable mid ai/ml roles in United States.

Quick facts

Is the Sensor Validation Engineer (Sunnyvale, CA) role remote?: No — this is an on-site role in Sunnyvale.
How much experience is required?: At least 3 years of relevant experience for this Sensor Validation Engineer (Sunnyvale, CA) role.
Where is the role based?: Applied Intuition is hiring for this position in Sunnyvale.
What's the tech stack?: Joblaze extracted these technologies from the posting: LiDAR, Linux, Python, Radar, Ultrasonic, Unix.
What seniority level is this role?: Applied Intuition targets mid-level candidates for this position.
Is this full-time or contract?: Full-time for this Sensor Validation Engineer (Sunnyvale, CA) role at Applied Intuition.

From the original posting

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

Standard company text repeated across Applied Intuition's postings is omitted here.

Sensor Validation Engineer (Sunnyvale, CA)

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