Staff ML Engineer — Perception & ADAS Deployment

Lucidmotors; Newark (CA); On-site; USD 180,900 - 265,320; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Life and disability coverage

Paid time off

401(k) retirement plan

Equity program

Annual cash incentive program

Job summary

Lucidmotors is seeking a Staff Software Engineer to lead the integration of advanced perception models into its autonomous driving systems. The role focuses on productizing machine learning models, ensuring their robust performance, and building scalable deployment pipelines.

The ideal candidate will have a strong background in software engineering, with demonstrated proficiency in C++ and Python, and over 7 years of relevant experience. Join Lucid's team and contribute to redefining the future of mobility.

Qualifications

• 7+ years of experience in software engineering for perception or autonomous systems.
• Hands-on experience with ML frameworks and inference optimization.
• Proven ability to lead technical projects and collaborate across teams.

Responsibilities

• Deploy and integrate perception models into Lucid’s centralized software stack.
• Optimize inference pipelines using CUDA, TensorRT.
• Build CI/CD pipelines for deployments, verification, and reporting.
• Work closely with ML researchers and software engineers for integration.
• Implement performance metrics and error reporting for reliability.

Skills

C++

Python

ROS1/2

OpenCV

PyTorch

TensorRT

CUDA

Docker

CI/CD

Education

BS/MS in Computer Science, Electrical Engineering, or related field

Job description

Lucidmotors is seeking a Staff Software Engineer to lead the integration of advanced perception models into its autonomous driving systems. The role focuses on productizing machine learning models, ensuring their robust performance, and building scalable deployment pipelines.

The ideal candidate will have a strong background in software engineering, with demonstrated proficiency in C++ and Python, and over 7 years of relevant experience. Join Lucid's team and contribute to redefining the future of mobility.