Perception Software Engineer - Autonomous Driving (MS Grads)

Lucid is the new generation of EV. Our relentless focus on innovation, luxury, and sustainability drives us into a reality where you no longer have to choose between doing great things, doing the right thing, and doing everything with the highest regard for efficiency and design. There were luxury cars, then EVs, now there’s Lucid.  

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 currently seek MS graduates (recent and upcoming) to join our world-class ADAS/Autonomous Driving team. In this role, you will be responsible for the development, integration and deployment of perception algorithm and software systems into the vehicle. If you have research and/or industry experience in automotive sensing applications and are relentless in your pursuit of solving complex problems related to computer vision, machine learning and sensor fusion...you could be a great fit for this job.

- 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

- Strong experience with Python/C++ programming languages

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

- Experience with real time operating systems (e.g., QNX, Ubuntu, etc.)

- 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 challenges

- Excellent communication skills and good team player

- MS in Computer Engineering, Electrical Engineering, Robotics, Mechanical Engineering or other related fields

- Experience writing efficient, clean code in C++

- Familiarity with popular build tools (CMake, Make, 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

- 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

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