Senior Behavior Planning Software Engineer - ADAS - Lucid Motors

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.

As a Behavior Planning Engineer on our ADAS Autonomous Driving Team, you will be responsible for managing the software stack and introducing new algorithms for the purpose of improved customer experience. Additionally, you will conduct data analysis to extract critical scenarios from fleet data and simulation data, contributing to the enhancement of our autonomous driving system's decision-making capabilities. Our ideal candidate exhibits a proactive, can-do attitude and approaches their work systematically with vigor, determination, and accuracy. Candidates will be expected to demonstrate excellence in their respective fields, to possess the ability to learn quickly, and to strive for perfection within a fast-paced environment.

The Role:

· Design, prototype, engineer, test, release and launch cutting edge features for ADAS/Autonomous Driving.

· Conduct research to come up with state-of-the-art machine learning based planning and prediction solutions and have the drive and expertise to take such solution to production.

Qualifications:

Must haves:

- Proficiency in C++ & Python, with 3+ years of academic/industry experience specifically with relevant libraries used for data analysis and management.

- Demonstrated expertise in software design principles, with a focus on creating scalable and efficient data management systems.

- Understanding and exposure to non-ML planning methods.

- Conduct research to come up with state-of-the-art machine learning based planning and prediction solutions and have the drive and expertise to take such solution to production.

Preferable:

- 3+ years of academic/industry experience in ML development, with a solid understanding of its applications in large-scale data systems.

- Experience with porting trained models to embedded platforms and solid fundamentals in c++.