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 worldclass team in Energy & Materials HumanCentered AI Human Interactive Driving Large Behavioral Models and Robotics.
The Human Aware Interactions and Learning team uses approaches from machine learning robotics and computer vision along with insights from human factors literature to devise new techniques that improve on the state of the art towards better machine understanding prediction and interactions with people in the driving domain both in and around the vehicle. We work with computational and cognitive researchers to test our approaches from a variety of data sources and humanintheloop experiments to devise ML approaches that work with the driver.
We are seeking a highly motivated Research Engineer in Robotics and Machine Learning to support the development of experimental prototypes and simulation environments for humanrobot interaction and intelligent vehicle research. The successful candidate will play a key role in designing developing and maintaining robotic systems and simulator rigs for data collection and experimental studies.
This is an opportunity to work on innovative research in humanrobot interaction and intelligent vehicle systems in a collaborative and interdisciplinary team of experts in robotics AI and human factors. You will have access to stateoftheart robotic platforms and simulation tools with the potential to contribute to academic publications and impactful realworld applications.
Responsibilities
Develop and maintain robotic platforms and simulation environments for humanrobot interaction and intelligent vehicle research.
Implement and integrate robotic systems using ROS (Robot Operating System) and other relevant frameworks.
Work with hardware components (sensors actuators cameras etc. to build experimental rigs and testbeds.
Develop software tools and algorithms for realtime data collection system control data analysis and performance evaluation.
Collaborate with researchers engineers and domain experts to design and implement humanintheloop experiments and analyze the resulting data.
Contribute to the development of novel machine learning approaches for driver assistance and humanrobot interaction.
Maintain and document software and hardware developments to ensure reproducibility and scalability.
Qualifications
Masters degree or equivalent experience in Robotics Computer Science Electrical/Mechanical such or a related field.
Experience with ROS (Robot Operating System) for robotic system integration as well as experience with analyzing data coming from robotic and HRI experiments.
Handson experience with robotic hardware including sensors actuators and embedded systems.
Proficiency in Python and C for robotic system development.
Experience with simulator frameworks (e.g. CARLA Gazebo AirSim or similar).
Strong problemsolving skills and ability to work collaboratively in a researchfocused environment.
Bonus Qualifications
Familiarity with machine learning techniques for perception control or humanrobot interaction.
Experience with realtime data acquisition and processing from cameras LiDAR IMUs and other sensors.
Background in humansubject experiments involving robots or intelligent vehicles.
Experience in designing and fabricating custom hardware components for robotic testbeds.
Knowledge of software development standard methodologies (version control CI/CD documentation).
Please submit your resume brief cover letter and attach a Google Scholar link to your application.
Please reference thisCandidate Privacy Noticeto inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute Inc. or its subsidiaries including Toyota A.I. Ventures GP L.P. and the purposes for which we use such personal information.
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.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance we will consider qualified applicants with arrest and conviction records for employment.
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.