Lucid Motors - Intern, Artificial Intelligence, Machine Learning, Summer 20 at RippleMatch Opportunities

Newark, California, United States -

Full Time

Start Date

Immediate

Expiry Date

22 Jan, 26

Salary

70.0

Posted On

24 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Machine Learning, Computer Vision, C++, Python, JavaScript, React, Angular, Vue.js, HTML, CSS, Node.js, RESTful API, Deep Learning, Data Simulation, Analytical Skills, Problem-Solving, Communication Skills

Industry

technology;Information and Internet

Description

This role is with Lucid Motors. Lucid Motors uses RippleMatch to find top talent. Title: Intern, Artificial Intelligence, Machine Learning, Summer 2026 Location: Newark, CA As an intern, you must possess a strong understanding of machine learning and computer vision fundamentals. Our ideal candidate exhibits a can-do attitude, and approaches work with vigor and determination. Please note this is a pipeline req, by applying to this role, you are interested in at least one of the following teams: AI Machine Learning Software Development Tools Vehicle Infotainment Engineer Software AI Tools Role/Responsibilities: Own one or more technical projects related to controls software engineering from idea to completion Apply concepts from coursework to drive creative solutions to complex problems Create a CI/CD pipeline component that uses AI to scan C++ source code and automatically generate or update technical documentation Build and integrate solutions that help our C++ developers write, test, debug, and document code more efficiently Design and develop a stand-alone, internal-facing AI/ML-powered web application Leverage AI/ML technologies to launch new features that intelligently streamline and enhance user workflows for greater efficiency and impact Establish reusable code libraries and design patterns to accelerate development Support a Surround Surveillance Perception project, strengthening vehicle security by alerting customers of potential threats around their parked car Ability to work in a fast paced, highly collaborative environment Ask questions, absorb information, and develop technical skills to make the most of this opportunity - we’re here to help you as much as you’re here to help us! Preferred Qualifications: Ability to apply book knowledge to real-world scenarios Experience using C++ Exposure to data simulation tools such as CARLA Embedded model deployment understanding Understanding and interest training deep learning and computer vision models Python coding and scripting for machine learning Ability to annotation data Experience with model evaluation trong programming experience with a solid understanding of application development Proficiency in JavaScript (ES6+), React, Angular, Vue.js, HTML, CSS, Python, and related frameworks Experience with Node.js and RESTful API integration Python, LLMs, AI APIs, RAG, Langchain, Git Experience using programming languages such as Python CI/CD with Gitlab CI, VS Code Plugin Development, Excellent communication and collaborative skills. Exposure to knowledge representation techniques such as knowledge graphs Strong analytical and problem-solving skills Excellent written and verbal communication skills Ability to work independently and collaboratively in a team environment Education: Field(s) of study: Computer Science, Artificial Intelligence, Electrical Engineering, Machine Learning, Automotive Engineering, or related fields Currently enrolled in a Bachelor’s or Master’s Degree program at an accredited university Proof of enrollment in current or into next program (MS, PhD) Program Information: Timing: May- August, or June-September pending class schedules. Duration of Internship: Our internship program is 12 weeks; the end date is flexible based on individual needs. Work Location & Environment: This position will be in Newark, CA, and is fully in-person. You must be prepared to start onsite for your first day of employment. The working environment will be a mix of lab & office work. Compensation: Student compensation is based on location and current degree level, non-negotiable ranging from $50 to $70 (subject to changes). Relocation: May be provided on a case-to-case basis. Housing/Transportation: You must provide your own living arrangements and transportation in the local area. Background Check: All offers of employment are contingent on clearing a background check. Drug Screening: All offers of employment are contingent on passing a drug screen. Medical benefits: Dental, vision, and medical on day 1 for all interns working full-time. Visa Sponsorship: Lucid may but is not obligated to sponsor foreign national employees requiring company sponsorship for U.S employment authorization.

Responsibilities

Interns will own technical projects related to controls software engineering, applying concepts from coursework to solve complex problems. They will also create AI-driven tools to enhance developer efficiency and support vehicle security projects.