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 currently seeking a perception machine learning 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.

 

As a member of the Lucid Motors perception team, you will research, design, implement, optimize and deploy

machine learning models which will push the state of the art in perception algorithms. Doing literature reviews

for a particular computer vision problem, implementing models, modifying algorithms to improve their

performance.

 

This role is located on-site at Headquarters in Newark, CA.

Role and Responsibilities

Work in a world-class ADAS/Autonomous Driving team Design the camera/lidar perception algorithm for Lv.2/3 autonomous driving systems. Building neural networks. Construct and develop cutting edge deep learning algorithms for computer vision tasks, 2D/3D object detection, segmentation, tracking and multi-task learning Work closely with other teams to ensure a seamless and robust implementation Test, release, and launch the perception algorithm into the Lucid production programs Support the production validation and verification of the perception algorithms using prototype vehicles, pre-production vehicles Propose cutting edge S/W algorithms for the future autonomous driving systems

Required Qualifications: 

Strong theoretical foundations and knowledge with state-of-the-art works in deep learning algorithms on object detection, tracking, segmentation etc. Strong experience with Python programming language with an emphasis on good software engineering practices. Comfortable with reading, debugging and modifying large codebases for a particular deep learning model Experience with Pytorch or other ML frameworks like TensorFlow, MXNet Design and construct evaluation pipelines to unit-test your ML model through a multitude of varying conditions and environments Excellent communication skills and good team player Bachelor’s degree in the areas of Computer Engineering, Electrical Engineering, Automotive Engineering, Mechanical Engineering or other related fields At least 6 years of work experience or a Ph.D. in a related field for a senior position Advanced degrees preferred

 

Preferred Qualifications:

Experience writing efficient, clean code in C++ A practical hands-on approach to complement the theoretical knowledge and creativity required to solve Autonomous Driving Experience testing complex perception systems Experience in working in agile development teams Experience in component and system integration, testing and verification on system and vehicle level