Sensor Integration Software Engineer – Autonomous Vehicles
On-siteAustin, Texas, United States
Job Summary
Design, develop, and maintain low-latency device drivers and software pipelines for Camera, LiDAR, Radar, IMU, and GNSS sensors. Optimize algorithms for timestamping, filtering, and preprocessing data to remove noise before feeding synchronized inputs to perception and localization subsystems. Build data analysis pipelines to monitor sensor health, detect out-of-spec behavior, and identify performance bottlenecks. Collaborate with embedded, perception, and localization teams to integrate sensors into the autonomous vehicle platform and debug hardware-software issues. Act as the sensor domain expert by analyzing technical characteristics, operational principles, and application nuances of various sensor technologies. Requires 5+ years of production software development in C++ and Python, with expertise in Linux networking, ROS, and automotive hardware interfaces.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, Math, Physics or related STEM fields or equivalent years of experience
- Minimum of 5 years of experience in production software development
- Strong proficiency in C++ and Python programming
- Understanding fundamentals of automotive Cameras (GMSL/FPD-Link), LiDAR, Radar, IMU, GNSS, and other sensor technologies, including their principles of operation, pros/cons, limitations, and calibration techniques
- Familiarity with ROS or similar frameworks and related communication protocols
- Experience with Linux networking and debugging network-related issues
- Strong problem-solving and debugging skills
- Ability to work in a fast-paced dynamic environment
- Candidates are required to be authorized to work in the U.S.
- The employer is not offering relocation sponsorship
- remote work options are not available
Desired Qualifications
- 5+ years of experience in self-driving cars, autonomous vehicles or robotic systems
- Experience with developing drivers and/or processing software for radars and camera data or expertise in sensor development
- Experience with real-time embedded systems, including working in an asynchronous environment with multiple real-time, low-latency, safety-critical systems processes, threads, timers, interrupts
- Experience in working with the custom Linux based systems for the embedded devices, and understanding of the kernelspace parts of the senors data pipelines
- Understanding the electronic engineering fundamentals to be able to perform supporting functions like reviewing schematics and designs of embedded devices and performing the bring-up and debugging of the hardware
- Experience with common automotive hardware interfaces like CAN, SPI, I2C, PCIe, Ethernet
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