Robotics Intern Mobile Manipulation, Behaviors

Los Altos, CA - USA

Hourly Salary: $ 45 - 65

Posted on: 21-09-2025

Vacancies: 1 Vacancy

Job Summary

At Toyota Research Institute (TRI) were on a mission to improve the quality of human life. Were developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility weve built a world-class team in Automated Driving Energy & Materials Human-Centered AI Human Interactive Driving Large Behavior Models and Robotics.

This is a summer 2026 paid 12-week internship opportunity. Please note that this internship will be an in-office role.

The Internship

This internship will be embedded within a world-class Robotics team with the mission to develop and integrate innovative solutions that enable a robot to perform complex human-level mobile manipulation tasks navigate with and among people and learn and adapt over time. The team emphasizes developing deploying and validating systems in real-world environments.

The Team

The Mobile Manipulation team is focused on heavily leveraging machine learning to marry perception prediction and action to produce robust reactive coordinated robot behaviors bootstrapping from simulation leveraging large amounts of data and adapting in real world scenarios.

TRI has the runway roadmap and expertise to transition the technology development to a product that impacts the lives of millions of people. Apply to join a fast moving team that demands high-risk innovation and learning from failures using rigorous processes to identify key technologies develop a robust high quality system and quantitatively evaluate performance. As part of the team you will be surrounded and supported by experts in mobile manipulation at TRI and be a part of TRIs positive and diverse culture!

Responsibilities

Develop integrate and deploy algorithms linking perception to autonomous robot actions including manipulation navigation and human-robot interaction.
Invent and deploy innovative solutions at the intersection of machine learning mobility manipulation human interaction and simulation for performing useful human-level tasks in human environments.
Invent novel ways to engineer and learn robust real-world behaviors including using optimization planning reactive control self-supervision active learning learning from demonstration simulation and transfer learning and real-world adaptation.

Qualifications

B.S. or M.S. in an engineering related field.
Experience with inventing and deploying innovative autonomous behaviors for robotic systems in real-world environments.
Experience in areas such as reactive control trajectory optimization coordinated whole-body control dexterous manipulation arm motion planning grasp planning navigation and human interaction.
Experience in applying machine learning to robotics including areas such as reinforcement imitation and transfer learning.
Strong software engineering skills preferably in C and analysis and debugging of autonomous robotic systems.
A team player with strong communication skills and a willingness to learn from others.
Passionate about seeing robotics have a real-world large-scale impact.

The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-based roles. Base pay offered will depend on multiple individualized factors including but not limited to business or organizational needs market location job-related knowledge skills and experience. TRI offers a generous benefits package including medical dental and vision insurance and paid time off benefits (including holiday pay and sick time). Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.

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TRI is fueled by a diverse and inclusive community of people with unique backgrounds education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all without regard to an applicants race color creed gender gender identity or expression sexual orientation national origin age physical or mental disability medical condition religion marital status genetic information veteran status or any other status protected under federal state or local laws.

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Required Experience:

Intern

This is a summer 2026 paid 12-week internship opportunity. Please note that this internship will be an in-office role.

The Internship

The Team

Responsibilities

Develop integrate and deploy algorithms linking perception to autonomous robot actions including manipulation navigation and human-robot interaction.
Invent and deploy innovative solutions at the intersection of machine learning mobility manipulation human interaction and simulation for performing useful human-level tasks in human environments.
Invent novel ways to engineer and learn robust real-world behaviors including using optimization planning reactive control self-supervision active learning learning from demonstration simulation and transfer learning and real-world adaptation.

Qualifications

B.S. or M.S. in an engineering related field.
Experience with inventing and deploying innovative autonomous behaviors for robotic systems in real-world environments.
Experience in areas such as reactive control trajectory optimization coordinated whole-body control dexterous manipulation arm motion planning grasp planning navigation and human interaction.
Experience in applying machine learning to robotics including areas such as reinforcement imitation and transfer learning.
Strong software engineering skills preferably in C and analysis and debugging of autonomous robotic systems.
A team player with strong communication skills and a willingness to learn from others.
Passionate about seeing robotics have a real-world large-scale impact.