Perception Software Engineer – ADAS
Lucid MotorsAbout the role
Leading the Future in Luxury Electric Mobility
At Lucid Motors, we are redefining the automotive experience by creating the most advanced electric vehicles in the world. Our vehicles push the boundaries of performance, intelligence, and design—delivering intuitive technology and sustainable innovation without compromise.
As a Perception Software Engineer, you will design, implement, and integrate high-performance perception software systems that enable safe and intelligent driving experiences. You’ll work in a fast-paced, collaborative environment where your contributions directly shape next-generation luxury EVs and advance the future of autonomous driving technology.
Role and Responsibilities
- Develop and implement high-quality automotive-grade software compliant with industry safety and quality standards.
- Integrate perception software components into the overall ADAS stack for robust, real-time performance.
- Collaborate with algorithm engineers to deploy perception algorithms into production vehicles.
- Conduct on-road ADAS software testing and create test plans to support algorithm development.
- Contribute to system requirements and define performance metrics for perception components.
- Support the ADAS software roadmap, strategic planning, and development timelines.
Required Qualifications
- 2–5+ years of experience in C++ and Python software development.
- Strong foundation in software integration, real-time operating systems (QNX, Ubuntu), and embedded development.
- Experience with component and system-level software integration, testing, and verification.
- Familiarity with perception algorithms (object detection, tracking, segmentation).
- Excellent communication skills and ability to work in cross-functional teams.
- BS in Computer Engineering, Electrical Engineering, Robotics, Mechanical Engineering, or related field.
- Advanced degrees preferred.
Preferred Qualifications
- Experience writing efficient, clean, and maintainable C++ code.
- Familiarity with build tools (CMake, Make, Bazel).
- Knowledge of automotive sensors (Camera, Radar, LiDAR).
- Experience with CAN tools (CANoe, CANalyzer) and automotive communication protocols (CAN, Ethernet).
- Basic knowledge of ROS, DDS, or other middleware systems.
- Experience in agile development environments.
- Hands-on experience testing complex perception systems in real-world conditions.
Additional C
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