BranchFactor Summary

The original posting with the fluff stripped out

Expected experience: 3+ yrs
Management level: Individual contributor

Compensation

No salary listed for this role.

Role speciality

Advanced Driver Assistance SystemsAutonomous DrivingPerception

Useful technologies

C++LiDARMXNetPythonPyTorchTensorFlow

Required qualifications

Field of studyAutomotive Engineering, Computer Engineering, Electrical Engineering, Mechanical Engineering (or related)

Study levelBachelor's

Preferred qualifications

Study levelMaster's or higher

Original posting

About Lucid

At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucid’s proprietary technology and software-defined vehicle architecture, our award-winning vehicles bring our “Compromise Nothing™” approach to the global automotive market. That means refusing to choose between performance and sustainability, design and engineering, ambition and integrity. In Lucid Air and Lucid Gravity, we have designed and built vehicles that have redefined their segments, combining exceptional range, performance, design, and expansive space in a single experience.

We achieve this through deep vertical integration, with design, engineering, and production happening in-house across our global offices and manufacturing facilities. Our teams come from industries around the world, united by a shared commitment to excellence. By refusing to settle, you can help redefine what’s possible and shape the future of mobility.

Role and Responsibilities

Develop and optimize perception algorithms for autonomous driving systems using camera and LiDAR data.
Design and implement cutting-edge deep learning algorithms for 2D/3D object detection, segmentation, tracking, and multi-task learning.
Research and integrate BEV-based transformer models for perception tasks.
Collaborate with cross-functional teams to ensure seamless integration and robust implementation.
Test, release, and deploy perception algorithms into Lucid production programs.
Support validation and verification of perception algorithms using prototype and pre-production vehicles.
Propose innovative software algorithms to enhance future autonomous driving capabilities.

Required Qualifications

Strong theoretical foundations and expertise in deep learning algorithms, including object detection, tracking, and segmentation.
Proficient in Python with a focus on clean, efficient, and scalable software development.
Comfortable working with large codebases and debugging complex machine learning models.
Experience with PyTorch or other ML frameworks (e.g., TensorFlow, MXNet).
Ability to design and construct evaluation pipelines to unit-test ML models under diverse conditions and environments.
Excellent communication skills and a strong team player.
Bachelor’s degree in Computer Engineering, Electrical Engineering, Automotive Engineering, Mechanical Engineering, or a related field.

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