Staff Mapping and Navigation Engineer

Lucid Motors; Newark (CA); On-site; USD 90,000 - 150,000; Full time

Job summary

Join a forward-thinking company at the forefront of luxury electric vehicles, where you will play a crucial role as a Mapping and Navigation Engineer. This position involves developing innovative mapping and navigation solutions using machine learning, tackling complex challenges in Simultaneous Localization and Mapping (SLAM) and state estimation. Collaborate with industry experts to create cutting-edge technologies that redefine mobility. If you're passionate about shaping a sustainable future and eager to make a significant impact, this opportunity is perfect for you.

Benefits

Medical Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

Vacation

401k

Equity Program

Annual Incentive Program

Qualifications

• Strong understanding of SLAM, state estimation, and optimization.
• Proficiency in machine learning techniques and deep learning frameworks.

Responsibilities

• Design and implement mapping and localization algorithms, including SLAM.
• Research and apply machine learning techniques to enhance mapping systems.

Skills

Machine Learning

Problem Solving

Analytical Skills

Programming in C++

Programming in Python

Sensor Fusion

SLAM

Optimization Techniques

Education

M.S. or Ph.D. in Robotics

M.S. or Ph.D. in Computer Science

M.S. or Ph.D. in Electrical Engineering

Tools

TensorFlow

PyTorch

ROS

Job description

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.

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:

1. Design, develop, and implement advanced mapping and localization algorithms, including SLAM, visual odometry, and sensor fusion.
2. 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.
3. Develop and optimize state estimation algorithms, such as Kalman filters, particle filters, and factor graphs, for accurate and reliable pose estimation.
4. Implement and evaluate optimization techniques for map building and localization, including bundle adjustment and graph optimization.
5. Work with various sensor data, including lidar, cameras, IMUs, WSS, and GPS, to create robust and accurate maps and localization systems.
6. Develop and maintain software in C++ and/or Python.
7. Collaborate with other engineers to integrate mapping and localization solutions into larger systems.
8. Participate in code reviews and contribute to improving software quality.
9. Stay up-to-date with the latest research and advancements in mapping, localization, and machine learning.
10. Contribute to patent applications and publications.

Qualifications:

1. M.S. or Ph.D. in Robotics, Computer Science, Electrical Engineering, or a related field with a focus on mapping, localization, and machine learning.
2. Strong understanding of fundamental concepts in SLAM, state estimation, optimization, and sensor fusion.
3. Proven experience in developing and implementing mapping and localization algorithms.
4. Proficiency in machine learning techniques and experience applying them to mapping and localization problems. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) is a plus.
5. Strong programming skills in C++ and/or Python.
6. Experience with robotics software frameworks (e.g., ROS) is a plus.
7. Excellent problem-solving and analytical skills.
8. Ability to work independently and as part of a team.
9. Excellent communication and presentation skills.

Bonus Points:

1. Experience with specific sensor modalities (e.g., lidar, cameras, IMUs).
2. Experience with real-time embedded systems.
3. Contributions to open-source projects related to mapping and localization.
4. Publications in top-tier conferences or journals.
5. Experience with GPU programming (e.g., CUDA).

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 organizational factors.

Additional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)