Develop and maintain data analysis pipelines to monitor sensor health, provide early detection of out-of-spec behavior and identify performance bottlenecks.
Collaborate with cross-functional teams, including embedded, perception and localization to integrate sensors into the overall autonomous vehicle platform, to ensure optimal sensor performance and debug the hardware and software related issues.
Act as the expert in the sensor domain by understanding the technical characteristics, features and available parameters of the sensors, as well as their underlying principles of operation and application nuances.
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.
Bonus 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.
#LI-MS1
Candidates are required to be authorized to work in the U.S. The employer is not offering relocation, sponsorship, and remote work options are not available.
Avride is an equal opportunity employer and committed to providing reasonable accommodations to qualified applicants and employees with disabilities to ensure they have equal access to employment opportunities. Avride complies with the Americans with Disabilities Act (ADA), if you need a reasonable accommodation to assist with the application or hiring process, or to perform the essential functions of a job, please email jobs@avride.ai.
