Perception Software Engineer - Autonomous Driving - RLE International : Job Details

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