Sensor Validation Engineer (Sunnyvale, CA)
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Key skills for this role
Role Overview
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.
Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.
FOR US-BASED ROLES: Applied Intuition is committed to providing an accessible and inclusive application and interview experience to applicants who are disabled veterans and other applicants with disabilities or medical conditions. Reasonable accommodations are available, requesting an accommodation will not affect your candidacy in any way, and you are not required to disclose the nature of your disability or medical condition in order to make a request. If you require an accommodation please contact careers@applied.co. We will work with you!
Key Skills for This Role
Full Job 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
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.
Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.
FOR US-BASED ROLES: Applied Intuition is committed to providing an accessible and inclusive application and interview experience to applicants who are disabled veterans and other applicants with disabilities or medical conditions. Reasonable accommodations are available, requesting an accommodation will not affect your candidacy in any way, and you are not required to disclose the nature of your disability or medical condition in order to make a request. If you require an accommodation please contact careers@applied.co. We will work with you!
About Applied
Applied Intuition develops simulation, validation, and development tools for autonomous vehicles and advanced driver-assistance systems used by leading automotive and trucking companies.
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