Staff Machine Learning Engineer - (ADAS/Autonomous Driving)

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 USDCompensation & Benefits: Lucid offers a comprehensive and competitive benefits package including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays, paid sick leave; and a 401(k) retirement plan. Hourly/non-exempt employees accrue up to 120 hours paid time off, and salaried/exempt employee accrue up to 160 hours paid time off.

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.

About LucidAt 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.The Role We are seeking a Staff