Sensor Validation Engineer (Sunnyvale, CA)
Applied Intuition · Sunnyvale
Roboticsonsitemid-level$122k–$230k
At a glance
Highlights
- Lead validation of LiDAR, radar, camera and ultrasonic sensors for autonomy.
- Improve synthetic simulation fidelity with physical sensor and environment models.
- Validate self-driving stacks by comparing hardware data to simulated models.
Ideal candidate
A hands-on engineer excited by physical testing and simulation who enjoys digging into real sensor data to make autonomy safer and more accurate.
Requirements
- Bachelor's or equivalent in Electrical, Mechanical, Robotics Engineering or related field
- At least 3 years of experience in sensor validation or related occupation
- Experience with Python for data analysis, automation and large-scale AV sensor datasets
- Experience with sensor validation and characterization for cameras, lidar or radar
- Experience with Linux/Unix CLI, Bash scripting and managing software dependencies
- Experience with sensor driver development and UDP architectures to parse raw sensor data
- remote policy
- In-office 5 days a week with occasional flexibility for remote work
Lab profile
About Applied Intuition
Builds simulation, vehicle OS, and autonomy infrastructure for automotive, defense, and heavy industries.
What they build
- Autonomy software stacks
- Vehicle operating systems
- Simulation and validation tooling
Known for
- Trusted by 18 of top 20 global automakers
- Expertise across automotive, defense, trucking, mining and agriculture
- Full-stack coverage from tooling to OS to autonomy
Key facts
- Founded in 2017
- Headquartered in Silicon Valley
- Valued at $15 billion
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