NewarkCARecruiter Since 2001
the smart solution for Newark jobs

Sensor Fusion Algorithm Engineer

Company: Lucid Motors
Location: Newark
Posted on: July 12, 2021

Job Description:

Leading the future of luxury mobility

Lucid’s mission is to inspire the adoption of sustainable energy by creating the most captivating luxury electric vehicles, centered around the human experience. Working at Lucid Motors means having a shared vision to power the future in revolutionary ways. Be part of a once-in-a-lifetime opportunity to transform the automotive industry.

We are currently seeking a Sensor Fusion Algorithm Engineer for our ADAS/Autonomous Driving team. This position requires an experienced professional with strong programming skills and solid knowledge of state-of-the-art perception algorithms.

Your Role:

  • Work in a world-class ADAS/Autonomous Driving team
  • Develop 2D/3D object and lane tracking/fusion, occupancy grid/freespace fusion, trajectory prediction algorithms for Lv.2/3/4 Autonomous Driving, combining all information from external sensors such as camera, LiDAR, radar, ultrasound and others
  • Implement high-quality automotive grade software code compliant to automotive quality and safety standards
  • Design, implement, test, and maintain system tools for product development and product verification
  • Work closely with other teams to ensure a seamless and robust implementation
  • Test, release, and launch the sensor fusion, trajectory prediction algorithm into the Lucid production programs
  • Support the production validation and verification of the sensor fusion and trajectory prediction algorithm using prototype vehicles, pre-production vehicles


  • BS, MS. or Ph.D. in the areas of Computer Engineering, Electrical Engineering, Automotive Engineering, Mechanical Engineering or other related fields
  • 3+ years of experience of developing multi-sensor fusion system for AD/ADAS, familiar with Camera/Radar/Lidar object and lane detection/tracking, occupancy grid fusion, freespace fusion, trajectory prediction
  • Background of state estimation theory, e.g., linear/nonlinear filter
  • Understanding of data association algorithm and tracking algorithm using Bayesian filters (KF, EKF, etc.)
  • Advanced programming skills in C/C++ and some scripting language (e.g. Python)
  • Strong mathematical and analytical skills, especially in statistics, estimation and optimization
  • Excellent communication skills


  • Knowledge of ROS, DDS or other middleware systems
  • Advanced knowledge in general software engineering (code design, patterns, source code versioning tools such as git)
  • Experience with real-time programming of embedded platforms and their operating systems
  • Track record in deploying prediction models into real world environments
Be part of something amazing

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.

At Lucid, we don’t just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace and is an affirmative action employer.  We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations.

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. 

Keywords: Lucid Motors, Newark , Sensor Fusion Algorithm Engineer, Other , Newark, California

Click here to apply!

Didn't find what you're looking for? Search again!

I'm looking for
in category

Log In or Create An Account

Get the latest California jobs by following @recnetCA on Twitter!

Newark RSS job feeds