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# Senior Machine Learning Engineer, End-to-End Planning job in Newark

- **Company:** Lucid Inc.
- **Location:** Newark, NJ, United States
- **Experience:** Expert
- **Salary:** $158,400.0 - $217,800.0
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Software Quality, Python (Programming Language), Machine Learning, Motion Planning, Software Architecture, Software Engineering, Pytorch, Deep Learning, Information Technology, Data Analytics
- **Published:** August 17, 2026
- **Apply:** https://jobs.diversity.com/career/2456416/senior-machine-learning-engineer-end-to-end-planning-newark

## About the Role

* Master's degree or Ph.D. in Computer Science, Robotics, Machine Learning, or a related field.
 * Professional experience implementing reliable production systems involving vision-action models, vision-language-action (VLA) models, generative models such as diffusion or flow-matching models, and autonomous driving performance metrics.
 * Expert-level knowledge of hands-on experience with Python and PyTorch.
 * Solid understanding of state-of-the-art models and approaches in perception, prediction, and planning for autonomous driving.
 * Strong foundation in physics, probability, and statistics.
 * Experience leveraging AI-assisted development tools to improve software engineering efficiency, code quality, and development workflows.

Preferred Qualifications:

 * Experience building and validating real-time autonomous driving or robotics systems, including planning and behavior prediction.
 * Proficiency in C++ with strong software design and engineering skills.

## Description

* Develop and maintain high-performance, low-latency end-to-end planning algorithms that enable vehicles to safely, accurately, and reliably navigate highway, urban, and parking scenarios in production autonomous driving applications.
 * Design reusable and optimized behavior and motion planning software architectures for Level 2/3/4 autonomous driving systems.
 * Develop and implement advanced machine learning algorithms for data-driven driving behavior and end-to-end planning.
 * Lead software development by applying full-stack autonomy expertise to design and deploy algorithms in closed-loop pipelines and real-world vehicle systems.
 * Collaborate closely with cross-functional teams to ensure seamless, robust implementation and deployment of motion planning products for autonomous driving systems.


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