Software Engineer, ADAS Behavior Planning and Integration

About Lucid At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucid’s proprietary technology and software-defined vehicle architecture, our award-winning vehicles bring our “Compromise Nothing” approach to the global automotive market. That means refusing to choose between performance and sustainability, design and engineering, ambition and integrity. In Lucid Air and Lucid Gravity, we have designed and built vehicles that have redefined their segments, combining exceptional range, performance, design, and expansive space in a single experience.

We achieve this through deep vertical integration, with design, engineering, and production happening in-house across our global offices and manufacturing facilities. Our teams come from industries around the world, united by a shared commitment to excellence. By refusing to settle, you can help redefine what’s possible and shape the future of mobility.

Role:
Behavior Planning:
Build and improve behavior planning logic for urban driving, auto parking, and safety features. This includes state machines, mode arbitration, feature activation/abort conditions, and fault handling. Multi-ECU SW Integration:
Integrate ADAS application software across multiple ECUs and embedded Linux platforms. Handle interface definitions, signal mapping, timing, and data flow between domains. Requirements to Code:
Break system-level ADAS requirements down into software tasks and keep the implementation traceable to those requirements. SW Testing & Validation:
Validate software through unit tests, SIL/HIL, test benches, and on-vehicle testing. Support vehicle builds and field operational tests (FOTs).

Cross-functional Collaboration:

Work with perception, motion planning & control, vehicle controls, HMI, systems, and validation teams to deliver features end to end. Release Support:
Contribute to software releases, interface change management, and documentation. Track work in Jira with clear, reproducible results.

Required Qualifications:

B.S. or M.S. in Computer Science, Electrical/Computer Engineering, Robotics, or a related field 0–3 years of relevant industry or research experience in ADAS/AD, robotics, or embedded systems Strong C++ programming skills and a solid grasp of software engineering fundamentals Experience developing and debugging on Linux, and with Git-based workflows Basic understanding of vehicle dynamics, state machines, or decision-making logic for autonomous systems Strong debugging skills, eagerness to learn, and clear communication

Preferred Qualifications:

Experience with embedded or automotive platforms (e.g., NVIDIA Orin, Infineon Aurix) or multi-ECU architectures Familiarity with middleware such as ROS/ROS 2, DDS, or SOME/IP Python for tooling, log analysis, or test automation Hands-on project experience in urban driving, parking, or active safety features (e.g., AEB) 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.

Salary Range:
The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and…