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.
Role And Responsibilities - Conduct research, design, implement, optimize, and deploy advanced computer vision algorithms aimed at enhancing driving and parking functionalities.
- Develop high-quality automotive-grade software that adheres to rigorous automotive quality and safety standards.
- Seamlessly integrate the software stack with the overall perception software architecture to ensure optimal performance and exceptional fault tolerance in onboard perception systems.
- Execute testing, release, and launch procedures for perception algorithms within production programs.
- Actively contribute to the ADAS software roadmap, strategic planning, and development timelines.
- Assist in defining system requirements and identifying performance metrics for individual components.
- Perform on-road ADAS software testing and develop comprehensive test plans to support algorithm development.
Required Qualifications - Bachelor’s degree in Computer Engineering, Electrical Engineering, Robotics, or Mechanical Engineering.
- In-depth knowledge and practical experience in 3D computer vision, multi-view geometry, and SfM/SLAM techniques.
- Strong expertise in camera calibration, linear algebra, numerical optimization, factor graph representations, and statistical estimation theory. Familiarity with OpenCV and image processing techniques is essential.
- A robust foundation in mathematics and robotics, enabling the proposal of innovative solutions for autonomous systems.
- Proficiency in C++ with extensive knowledge in object-oriented programming, algorithms, data structures, and software design principles.
- Excellent communication skills and the ability to work collaboratively as a team player.
Preferred Qualifications - Master’s degree in Computer Vision, Computer Engineering, Electrical Engineering, Robotics, or Mechanical Engineering.
- A minimum of 3 years of relevant experience or a Ph.D. with minimal prior experience.
- Familiarity with optimization libraries such as GTSAM, Ceres, g20, etc.
- Experience with real-time operating systems (e.g., QNX, Ubuntu, etc.).
- Proficient in working with various sensor modalities including GPS/IMU, ultrasonic sensors, wheel odometry, etc.
- Experience in collaborating within agile development teams.
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)
$154,000—$211,750 USD
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Job Tags
Full time, Immediate start,