Autonomous Driving Perception Engineer — BEV/ML

Lucid Motors; San Francisco (CA); On-site; USD 135,000 - 185,000; Full time

Benefits offered by this job

Equity program

Discretionary annual bonus

Job summary

Lucid Motors is seeking a Perception Software Engineer to design, integrate, and deploy ML-based perception software within the ADAS stack for Lucid Air and Gravity platforms. You will collaborate with ML engineers, embedded teams, and systems groups to deliver production-ready solutions across vehicle platforms.

The role emphasizes deep learning deployment on embedded hardware, C++ development, MISRA/AUTOSAR compliance, and cross-disciplinary collaboration for safe, scalable perception systems.

Qualifications

• Bachelor’s degree in Computer Engineering, Electrical Engineering, Robotics, or a related field.
• Minimum of three years of relevant work experience; senior level may require more.
• Strong foundation in embedded software development and software integration in OSs like QNX/Ubuntu.
• Experience with deep learning for perception tasks and production codebases.

Responsibilities

• Research, develop, and integrate BEV transformer models for perception tasks.
• Develop ML-based prediction solutions for production perception systems.
• Write and maintain 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 static analysis violations and performance bottlenecks.
• Collaborate with ML, perception, systems, and safety teams.

Skills

Software integration

Embedded software

QNX

Ubuntu

Deep learning

Object detection

Tracking

Education

Bachelor's degree in Computer/ Electrical Engineering or Robotics

Tools

Git

Bash scripting

CUDA / GPU inference

NVIDIA Drive Orin/Xavier

Job description

Lucid Motors is seeking a Perception Software Engineer to design, integrate, and deploy ML-based perception software within the ADAS stack for Lucid Air and Gravity platforms. You will collaborate with ML engineers, embedded teams, and systems groups to deliver production-ready solutions across vehicle platforms.

The role emphasizes deep learning deployment on embedded hardware, C++ development, MISRA/AUTOSAR compliance, and cross-disciplinary collaboration for safe, scalable perception systems.