Perception Software Engineer

We launched Lucid in 2016 to build the world’s best cars and accelerate the shift to clean energy. Our vehicles deliver best-in-class performance *and* efficiency. Equally important, we’re building a world-class team: From our state-of-the-art factory in Arizona to our global headquarters in California’s Silicon Valley, we’re recruiting high-performing people who want to help decarbonize Earth. Join us!

 

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 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 will be based on-site in Southfield, MI.

 

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 the Lucid 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:

• 2-5+ years of experience in C++/Python software development

• Good knowledge in deep learning algorithms on object detection, tracking, segmentation etc.

• Strong foundation in software integration, real-time operating systems (QNX,

Ubuntu), and embedded development.

• Experience in component and system software integration, testing and verification

• A practical hands-on approach to complement the theoretical knowledge and creativity required to

solve Autonomous Driving

• 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:

• 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 in Vehicle CAN tools (CANoe, CANalyzer, CANape, etc.)

• Experience with CAN and Automotive Ethernet communication protocols

• Basic Knowledge of ROS, DDS or other middleware systems

• Experience in working in agile development teams

• Experience testing complex perception systems

• Experience in component and system integration, testing and verification on system and vehicle level

 

At Lucid, we don’t just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations.