Perception Software Engineer -Autonomous Driving

Leading the future in luxury electric and mobility At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.   We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.   Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you. 
We are currently seeking a perception software engineer to be responsible for the development, integration and deployment of perception software systems into the vehicle. This position requires an experienced professional with a track record of technical excellence in automotive sensing applications.
 
This role is located on-site at Headquarters in Newark, CA.


Role 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
• 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:

• Bachelors in the areas of Computer Engineering, Electrical Engineering, Robotics, Mechanical Engineering
• 2+ years of related experience
• Experience with real time operating systems (e.g., QNX, Ubuntu, etc.)
• Experience in component and system software integration, testing and verification
• Experience with CAN and Automotive Ethernet communication protocols
• Ability in writing efficient c++ or Python code
• A practical hands-on approach to complement the theoretical knowledge and creativity required to solve Autonomous Driving
• Excellent communication skills and good team player

Preferred Qualifications:

• Masters in the areas of Computer Engineering, Electrical Engineering, Robotics, Mechanical Engineering
• Experience in Vehicle CAN tools (CANoe, CANalyzer, CANape, etc.)
• Familiarity with popular build tools (CMake, Make, etc.)
• Knowledge of common automotive sensors (e.g. Camera, Radar, Lidar, etc.)
• Knowledge of deep learning model deployment
• Basic Knowledge of ROS, DDS or other middleware systems
• Experience testing complex perception systems
• Experience in working in agile development teams
• Experience in component and system integration, testing and verification on system and vehicle level

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