Location | Palo Alto, California |
Years of Experience | Currently pursuing or completed a Master’s or Ph.D. in Mechanical Engineering, Electrical Engineering, Computer Science, or a related field; publications in motion planning, control theory, or ADAS-related topics are a plus. Strong proficiency in C++ preferred; prior industry experience is a plus. Knowledge in motion planning, control theory, and AI/ML applications within motion planning contexts. Experience with data-driven AI and ML techniques, particularly in planning or control theory applications. Demonstrated ability to analyze complex systems and optimize algorithms for vehicle performance. Effective communication and teamwork abilities, with experience working in cross-disciplinary environments. 40 hours/week, full-time #LI-[SAI7] |
Commitment | Full Time |
Role | Internships |
Remote | See job post for details |
First listed | In the last 1 week |
NewSoftware for Climate course
Job Description
About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Role Summary Internship Term: Rivian internships are experiences optimized for student candidates. To be eligible, you must be an undergraduate or graduate student in an accredited program during the internship term with an expected graduation date between December2025 to December 2027. If you are not pursuing a degree, please see our full time positions on our Rivian careers site. Note that if your university has specific requirements for internship programs, it is your responsibility to fulfill those requirements. You’ll play an essential role in developing vehicle trajectory planning systems that control where and how fast the vehicle travels, based on lane geometry, sensor inputs, map data, and vehicle tracking. This position offers the opportunity to contribute to critical ADAS functions like Adaptive Cruise Control (ACC) and Highway Assist, providing real-world experience in advanced motion planning and control theory. This role is ideal for graduate-level candidates in Mechanical Engineering, Electrical Engineering, Computer Science, or related fields, with an interest in applying AI and ML to motion planning. Responsibilities Trajectory Planning: Develop and refine algorithms to determine vehicle trajectories, incorporating data from sensors, lane geometry, map information, and vehicle tracking. Control System Collaboration: Work closely with control systems to ensure smooth operation of ADAS features such as ACC and Highway Assist. Data-Driven Planning: Apply data-driven AI and ML techniques to optimize motion planning and improve system responsiveness. Algorithm Optimization: Assist in optimizing motion planning algorithms for performance and reliability, publishing trajectories in real-time environments. Cross-Functional Collaboration: Collaborate with software, sensor, and mapping teams to enhance vehicle performance through precise motion planning. Qualifications Currently pursuing or completed a Master’s or Ph.D. in Mechanical Engineering, Electrical Engineering, Computer Science, or a related field; publications in motion planning, control theory, or ADAS-related topics are a plus. Strong proficiency in C++ preferred; prior industry experience is a plus. Knowledge in motion planning, control theory, and AI/ML applications within motion planning contexts. Experience with data-driven AI and ML techniques, particularly in planning or control theory applications. Demonstrated ability to analyze complex systems and optimize algorithms for vehicle performance. Effective communication and teamwork abilities, with experience working in cross-disciplinary environments. 40 hours/week, full-time #LI-[SAI7] Pay Disclosure Salary Range/Hourly Rate for Internships: The range of pay for internships is 25.00-51.00 per hour. Actual compensation will be determined based on location, and other factors permitted by law. Rivian provides robust wellness benefits, and a medical insurance package for interns, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian covers most of the premiums. Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at [email protected]. Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian’s service providers, including providers of background checks, staffing services, and cloud services. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please note that we are currently not accepting applications from third party application services.
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