Sensor Software Engineer

Bot Auto•Houston, TX

About The Position

We are looking for a Sensor Software Engineer. You will play a crucial role in developing and optimizing sensor (LiDAR, Radar, GNSS, IMU, etc.) software/driver solutions for our autonomous vehicle platform. You will be responsible for designing, implementing, and testing sensor drivers and data processing algorithms that utilize sensor data to enable precise perception, and sensor fusion capabilities.

Requirements

Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, Automotive Engineering, or a related field.
Familiar with at least one of LiDAR, Radar, or other sensor technologies.
Expertise in embedded software design and proficiency in C/C++, with a strong understanding of modern standards, multithreading, and Python.
Solid understanding of sensor domain technologies, including LiDAR, Radar, and other related systems.
Familiarity with 100/1000 base T&T1, CAN, and other vehicle communication protocols.
Competence in Linux-based software development, with additional expertise in embedded Linux being advantageous.
Strong problem-solving skills, effective communication, and a passion for advancing autonomous vehicle technology.

Nice To Haves

Experience with ROS (Robot Operating System), or similar middleware for robotics and autonomous systems.
Experience with RTOS (Real-time Operating System).
Experience with Nvidia Drive Product (Orin/Xavier).
Experience with sensor hardware integration and calibration.
Experience with simulation tools and platforms for autonomous vehicle testing.

Responsibilities

Develop the architecture and pipeline for sensor signal processing, spanning from the sensors to the perception module.
Collaborate with vendors, relevant vehicle subsystems, manufacturing, service, and other teams to define requirements and optimize performance and reliability.
Define the evaluation matrix for the sensor benchmarking and provide reports based on data.
Develop, debug, and maintain robust C/C++ software for the sensor software stack, including sensor basic driver, diagnostic software, data processing algorithms, time synchronization, data logging and storage, etc.
Optimize software performance to ensure real-time processing of sensor data with minimal latency, utilizing techniques such as parallelization, multithreading, and hardware acceleration.
Collaborate with cross-functional teams including hardware engineers, robotics specialists, and machine learning engineers to integrate sensor software components into the overall autonomous vehicle system.
Create and maintain offline benchmarking and monitoring tools to uphold the highest standards of visual data quality.
Design V&V test cases, code check rules, and associated tools to ensure the delivery of high-quality code.
Follow the CI/CD pipeline to streamline the development and deployment processes.
Stay updated with the latest advancements in sensors and actively contribute to research and development efforts to enhance the capabilities of our autonomous vehicle platform.
Provide technical leadership and mentorship to junior engineers, and actively participate in code reviews and knowledge-sharing sessions to maintain high software quality standards.