Staff Mapping and Navigation Engineer

Newark, CA, United States

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.

The posted salary range reflectscompensation for our Newark, CA office. This role requires employees to be onsite five days a week.

We are seeking a highly motivated and skilled Mapping and Navigation Engineer with a strong focus on machine learning to join our growing team. In this role, you will be responsible for developing and implementing cutting-edge mapping and navigation solutions for ADAS. You will work on challenging problems related to Simultaneous Localization and Mapping (SLAM), state estimation, and optimization, leveraging the power of machine learning to achieve robust and accurate performance in complex environments.

Responsibilities:

Design, develop, and implement advanced mapping and localization algorithms, including SLAM, visual odometry, and sensor fusion.
Research and apply machine learning techniques to enhance the performance and robustness of mapping and localization systems. This may include deep learning for feature extraction, place recognition, or map understanding.
Develop and optimize state estimation algorithms, such as Kalman filters, particle filters, and factor graphs, for accurate and reliable pose estimation.
Implement and evaluate optimization techniques for map building and localization, including bundle adjustment and graph optimization.
Work with various sensor data, including lidar, cameras, IMUs, WSS, and GPS, to create robust and accurate maps and localization systems.
Develop and maintain software in C++ and/or Python.
Collaborate with other engineers to integrate mapping and localization solutions into larger systems.
Participate in code reviews and contribute to improving software quality.
Stay up-to-date with the latest research and advancements in mapping, localization, and machine learning.

Qualifications:

7+ years of full-time engineering experience (not including internships or co-ops).
M.S. or Ph.D. in Robotics, Computer Science, Electrical Engineering, or a related field with a focus on mapping, localization, or machine learning.
Strong understanding of fundamental concepts in SLAM, state estimation, optimization, and sensor fusion.
Proven experience in developing and implementing mapping and localization algorithms.
Proficiency in machine learning techniques and experience applying them to mapping and localization problems.
Strong programming skills in C++ and/or Python.
Excellent problem-solving and analytical skills.
Ability to work independently and as part of a team.
Excellent communication and presentation skills.

Bonus Points:

Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) is a plus.
Experience with specific sensor modalities (e.g., lidar, cameras, IMUs).
Experience with real-time embedded systems.
Contributions to open-source projects related to mapping and localization.
Publications in top-tier conferences or journals.
Experience with robotics software frameworks (e.g., ROS) is a plus.

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