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ADAS Data Annotation Engineer

Newark, CA

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 talented and motivated ADAS Data Annotation Engineer to join our team. In this role, you will work closely with Perception and Data Engineers to streamline and automate the process of annotating Advanced Driver Assistance Systems (ADAS) data. Your expertise in Computer Vision, Machine Learning, and data annotation will be critical in building and optimizing pipelines that enhance the accuracy and efficiency of our ADAS systems.

Key Responsibilities:

  • Understand and Implement Data Annotation Guidelines:
    • Comprehend and apply ADAS data annotation guidelines to ensure consistent and accurate labeling of datasets.
    • Work with cross-functional teams to refine and update annotation standards as needed.
  • Automate Data Annotation Pipelines:
    • Develop and maintain pipelines to automate the data annotation process.
    • Utilize scripting and programming skills to integrate automation tools that minimize manual intervention.
    • Collaborate with the engineering team to identify and solve bottlenecks in the annotation process.
  • Collaborate with Perception and Data Engineers:
    • Work alongside Perception Engineers to ensure that annotated data meets the requirements of machine learning models.
    • Partner with Data Engineers to optimize data flow and storage, ensuring seamless integration of annotated datasets.
  • Apply Computer Vision and Machine Learning Fundamentals:
    • Leverage knowledge of Computer Vision and Machine Learning to develop algorithms that enhance the accuracy of data annotations.
    • Experiment with and implement cutting-edge techniques to improve annotation quality and efficiency.
  • Platform Development:
    • Contribute to the development of a future platform that will standardize and scale ADAS data labeling.
    • Provide input on architecture, tools, and processes to ensure the platform meets the needs of a rapidly evolving field.

Qualifications:

  • Education:
    • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
  • Experience:
    • Proven experience in data annotation, particularly in the ADAS or automotive domain.
    • Strong background in Computer Vision and Machine Learning.
    • Experience with annotation tools and platforms, as well as knowledge of data labeling best practices.
  • Technical Skills:
    • Proficiency in programming languages such as Python, C++, or similar.
    • Experience with data annotation tools like Labelbox, CVAT, or custom-built solutions.
    • Familiarity with automation frameworks and pipeline development.
    • Understanding of ADAS systems and sensor technologies (e.g., LiDAR, cameras, radar).
  • Soft Skills:
    • Strong problem-solving skills with attention to detail.
    • Excellent communication and collaboration abilities.
    • Ability to work in a fast-paced, dynamic environment.

Why Join Us?

  • Be a part of a cutting-edge team developing next-generation ADAS technologies.
  • Opportunity to work on challenging projects that directly impact the future of autonomous driving.
  • Collaborative and innovative work environment with opportunities for professional growth.

Application Process:

Interested candidates should submit their resume and a cover letter detailing their relevant experience and interest in the role.

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)

$123,200 - $169,400 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. 
 

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On a scale from 1 (least) to 10 (most), how would you rate your skills with data annotation and tools like Labelbox, CVAT, (etc)? 
Familiarity with automation frameworks and pipeline development.
Understanding of ADAS systems and sensor technologies (e.g., LiDAR, cameras, radar).

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