RLE International has an opportunity for a Perception Software Engineer - Autonomous Driving located in Southfield, Michigan.

We are currently seeking a perception software engineer to be responsible for the development, integration and deployment of perception algorithm and software systems into the vehicle. This position requires an experienced professional with a track record of technical excellence in automotive sensing applications.

This role has high impact to the overall Perception department deliverables, and a good starting point to interact with the large ADAS system.

Job Description:

The role will consist of:

Responsible for building/maintaining data playback system with Linux system Perception software integration and deployment to our new computation platform Triage perception system fault in the system

Role and Responsibilities:

Work in a world-class ADAS/Autonomous Driving team • Implement high-quality automotive grade software code compliant to automotive quality and safety standards Integrate software stack with the overall perception software stack for running onboard perception system with excellent performance and high fault tolerance Test, release, and launch the perception algorithm into production programs Conduct on-road ADAS software testing and create test plans to support algorithm development Contribute to the systems requirements and identify performance metrics for individual components Contribute to the ADAS software roadmap, strategic planning, and development timeline

Required Qualifications:

Strong experience with C++/Python programming language Experience in component and system software integration, testing and verification Experience with real time operating systems A practical hands-on approach to complement the theoretical knowledge and creativity required to solve Autonomous Driving Experience with requirements validation and verification for subsystems as well as integrated system level components Minimum 3 years experience working with QNX/Linux operating system Minimum 3 years experience Understandings of ethernet communication protocol Excellent communication skills and good team player BS minimum in the areas of Computer Engineering, Electrical Engineering, Robotics, Mechanical Engineering or other related fields Advanced degrees preferred

Preferred Qualifications:

3+ years of experience writing efficient, clean code in C++ • Familiarity with popular build tools (CMake, Make, Bazel, etc.) Knowledge of common automotive sensors (e.g. Camera, Radar, Lidar, etc.) Experience with CAN and Automotive Ethernet communication protocols Experience with ML model optimization and deployment Experience with Nvidia/Qualcomm platform Basic Knowledge of ROS, DDS or other middleware systems Experience testing complex perception systems Experience in component and system integration, testing and verification on system and vehicle level