Lucidmotors1d ago

Senior Machine Learning Engineer - Model Optimization & Deployment (ADAS/Autonomous Driving)

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EngineeringData Science

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Requirements Summary

5+ years (or ML Engineer: 2+ years) of experience in ML/software engineering for perception or autonomous systems. Strong proficiency in C++ and Python, with experience in ROS1/2, OpenCV,

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EngineeringData Science

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. Vehicles that are intuitive, liberating, and designed for the future of mobility.

We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.

Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.

We are seeking a Senior Machine Learning Engineer (or strong ML Engineer) to drive the integration and deployment of advanced perception models into Lucid’s production ADAS and autonomous driving systems. This role focuses on model optimization and compression, 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 into Lucid's centralized software stack.

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

Model Optimization & Compression

Optimize inference pipelines using CUDA, TensorRT, mixed-precision, quantization (PTQ/QAT), and model pruning/distillation techniques for real-time performance.

Profile latency, memory, and compute bottlenecks; improve model and system efficiency on automotive hardware.

Pipeline Development & Automation

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

Automate data recording, evaluation frameworks, and regression testing for optimized models.

Cross-Functional Collaboration

Work closely with ML researchers, software engineers, and hardware/platform teams to ensure seamless integration.

Support SDK/tooling development and internal or 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.

For Senior ML Engineer: 5+ years (or ML Engineer: 2+ years) of experience in ML/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).

Practical experience with at least one compression technique such as quantization, pruning, or distillation.

Experience with containerization (Docker), CI/CD, and automated deployment pipelines.

Strong collaboration skills and ability to execute across research and production teams.

Preferred Qualifications

Experience with automotive perception systems and ADAS software stacks.

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

Experience deploying INT8/FP16 models and validating accuracy-latency tradeoffs.

Knowledge of multithreaded scheduling and real-time performance tuning.

Background in SDK/tooling development and automotive customer integration.

At Lucid, we don’t just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations.

Additional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)

By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice.

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