Staff Machine Learning Engineer – (ADAS/Autonomous Driving)

United States·Newark,Newarklead

Data ScienceOtherMachine Learning EngineerStaff Machine Learning EngineerData & AI

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Quick Summary

Overview

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.

Key Responsibilities

We are seeking a Staff Software Engineer to lead the integration and deployment of advanced perception models into Lucid’s production ADAS and autonomous driving systems.

Requirements Summary

BS/MS in Computer Science, Electrical Engineering, or related field. 7+ years of experience in software engineering for perception or autonomous systems. Strong proficiency in C++ and Python , with experience in ROS1/2, OpenCV, and GPU acceleration.

Technical Tools

cppdockerpythonpytorchci-cdmachine-learningperformance-optimization

About Lucid

About Lucid

At Lucid, we are redefining the luxury electric vehicle experience, combining cutting-edge technology with exceptional design to deliver intuitive, safe, and exhilarating mobility. Join our team and help shape the future of autonomous driving.

The Role

We are seeking a Staff Software Engineer to lead the integration and deployment of advanced perception models into Lucid’s production ADAS and autonomous driving systems. This role focuses on productizing ML models, ensuring robust performance on automotive-grade hardware, and building scalable pipelines for deployment and validation. You will collaborate with ML researchers, perception engineers, and hardware teams to deliver high-performance, safety-compliant solutions.

Key Responsibilities

Model Integration & Productization

Deploy and integrate perception models (camera, LiDAR) into Lucid’s centralized software stack.

Transition experimental components into production-ready modules with robust scheduling and diagnostics.

Performance Optimization

Optimize inference pipelines using CUDA, TensorRT, and mixed-precision techniques for real-time performance.

Implement multithreaded scheduling and containerized deployments for automotive platforms.

Pipeline Development & Automation

Build CI/CD pipelines for nightly deployments, HIL verification, and KPI reporting.

Automate data recording, evaluation frameworks, and regression testing.

Cross-Functional Collaboration

Work closely with ML researchers, software engineers, and OEM partners to ensure seamless integration.

Support SDK development and customer-facing deliverables.

System Diagnostics & Monitoring

Implement runtime performance metrics, logging, and error reporting for perception stack reliability.

Required Qualifications

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

7+ years of experience in software engineering for perception or autonomous systems.

Strong proficiency in C++ and Python, with experience in ROS1/2, OpenCV, and GPU acceleration.

Hands-on experience with ML frameworks (PyTorch) and inference optimization (TensorRT, CUDA).

Expertise in containerization (Docker), CI/CD, and automated deployment pipelines.

Proven ability to lead technical projects and collaborate across teams.

Preferred Qualifications

Experience with automotive perception systems and ADAS software stacks.

Familiarity with automotive safety standards (ISO 26262, ASPICE).

Knowledge of multithreaded scheduling and real-time performance tuning.

Background in SDK development and automotive customer integration.

Salary Range: The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors.

Base Pay Range (Annual)

$180,900—$265,320 USD

Compensation & Benefits: Lucid offers a comprehensive and competitive benefits package including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays; and a 401(k) retirement plan. Eligible employees may also participate in Lucid’s equity program and/or a discretionary annual cash incentive program. Incentive and equity awards, if applicable, are determined based on individual performance, role scope, market considerations, and overall company results, in accordance with the terms of the applicable plans.

Equal Opportunity: At Lucid, we believe diversity strengthens everything we build. Lucid Motors is proud to be an equal opportunity employer and is committed to providing an inclusive workplace for all. We consider all qualified applicants without regard to race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity or expression, marital status, or any other characteristic protected by applicable state or federal laws and regulations.

Accessibility: Lucid Motors is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need any accommodation to participate in the application process, please contact us at TA-Operations@lucidmotors.com.

Candidate Data Privacy: By submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice.

To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to Lucid Motors. Lucid Motors is not responsible for any fees related to unsolicited resumes.