Overview
USD 163,700.00 - 240,020.00 per year
Full Time
Skills
Extraction
Global Positioning System
Collaboration
Quality Assurance
Research
Computer Science
Electrical Engineering
FOCUS
Estimating
Optimization
Fusion
Algorithms
Machine Learning (ML)
C++
Python
Problem Solving
Conflict Resolution
Analytical Skill
Communication
Presentations
Deep Learning
TensorFlow
PyTorch
Sensors
Real-time
Embedded Systems
Open Source
Mapping
Internationalization And Localization
Publications
Robotics
ROS
Training
Life Insurance
Insurance
Privacy
Recruiting
Job Details
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 reflects compensation 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:
Bonus Points:
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.)
Base Pay Range (Annual)
$163,700-$240,020 USD
By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice.
To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.
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 reflects compensation 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.
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.)
Base Pay Range (Annual)
$163,700-$240,020 USD
By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice.
To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.