[Active Hring] Software Engineer - ADAS Perception

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.About Lucid At Lucid Motors, we are redefining the future of mobility with electric vehicles that combine breakthrough technology, stunning design, and a luxurious experience. Our mission is to inspire the adoption of sustainable energy by creating the most captivating electric vehicles on the market. Role Overview We are seeking a Software Engineer to join our ADAS Perception Machine Learning Engineering team. You’ll work on developing and integrating ML-based perception software for real-time vehicle systems. This is a great opportunity for a junior engineer eager to grow in a fast-paced, cutting-edge automotive environment. Responsibilities • Assist in developing and integrating ML-based perception software for ADAS systems. • Write clean and reliable C++ and Python code in compliance with safety standards like MISRA/AUTOSAR.

• Contribute to writing and maintaining unit tests and basic integration tests.
• Work with senior engineers to integrate machine learning models into real-time

onboard systems.

• Participate in debugging and fixing static analysis violations.
• Gain experience working in a large and complex codebase and support release

processes.Qualifications

• Proficiency in C++ and Python.
• Exposure to real-time operating systems such as Ubuntu or QNX.
• Basic understanding of software testing, debugging, and integration.
• Strong interest in ADAS perception, robotics, or computer vision.
• Bachelor’s degree in Computer Engineering, Electrical Engineering, Robotics, or

a related field. Preferred Qualifications

• Internship or project experience involving machine learning or deep learning.
• Familiarity with CUDA, GPU inference, or embedded model deployment.
• Experience with Bash scripting or similar tools.
• Understanding of ROS, CAN protocols, or automotive data communication.
• Familiarity with Git or other version control systems.

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