Perception Software Engineer, Autonomous Driving

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 productionhappening in-houseacross our global offices andmanufacturingfacilities.Ourteamscomefromindustriesaround the world, united by a shared commitment to excellence.By refusing to settle, youcanhelpredefinewhat’spossible andshape the future of mobility.

Role Overview

We are looking for a Perception Software Engineer to design, integrate, and deploy ML-

based perception software within our ADAS stack. This engineer will collaborate with ML

engineers, embedded software developers, and systems teams to deliver production-

ready solutions across Lucid’s vehicle platforms.

Responsibilities

Research, develop, and integrate bird’s-eye-view (BEV) transformer models for

perception tasks.

Research and develop state-of-the-art machine-learning-based prediction

solutions for production perception systems.

Develop and maintain comprehensive unit and integration tests.

Deploy and optimize ML models on embedded platforms.

Write production-grade C++ code aligned with MISRA/AUTOSAR standards.

Develop and maintain diagnostic pipelines for perception modules.

• Debug and resolve static analysis violations and performance bottlenecks.• Collaborate with multi-disciplinary teams across ML, perception, systems, and

• Master’s degree or Ph.D. in engineering, computer science, or a related field.• Deep understanding of deep learning deployment pipelines and GPU inference.• Experience developing BEV transformer models for perception.• Hands-on experience with embedded platforms such as NVIDIA Drive Orin/Xavier.• Proficiency in Bash scripting for automation and debugging.• Strong familiarity with Git and collaborative development workflows.