Software Engineer, ADAS Behavior Planning and Integration

Lucid Motors•Newark, CA

7d•$134,700 - $185,240

About The Position

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.

Requirements

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

Nice To Haves

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)

Responsibilities

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.
Integrate ADAS application software across multiple ECUs and embedded Linux platforms. Handle interface definitions, signal mapping, timing, and data flow between domains.
Break system-level ADAS requirements down into software tasks and keep the implementation traceable to those requirements.
Validate software through unit tests, SIL/HIL, test benches, and on-vehicle testing. Support vehicle builds and field operational tests (FOTs).
Work with perception, motion planning & control, vehicle controls, HMI, systems, and validation teams to deliver features end to end.
Contribute to software releases, interface change management, and documentation. Track work in Jira with clear, reproducible results.