Senior Robotics Engineer in Georgetown

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Job DescriptionJob DescriptionAt Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team in Automated Driving, Energy & Materials, Human-Centered AI, Human Interactive Driving, Large Behavior Models, and Robotics.

The team will be 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 paced team that demands high-risk innovation and learning from failures, using thorough 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 the significant core ML, cloud, software, and hardware expertise at TRI, and be a part of TRI's positive and diverse culture.Responsibilities

• Support TRI robot deployments in Toyota factories in Kentucky, Indiana, and potentially other sites.
• Independently operate and test advanced autonomous robots ranging from inspection systems, AMRs, industrial arms, cobot arms, and mobile manipulators.
• Perform failure analysis and troubleshooting of complex autonomous robots, including mechanical and electrical hardware repair, Linux system debugging, custom tool usage, software debugging, and detailed / accurate bug reporting.
• Integrate these robots with existing systems in the factories, including interfacing to PLCs, wifi / networks, fleet management systems, etc.
• Work with the factory shops to safely commission these robots.
• Write robot operation procedures tailored to individual robots and individual tasks / processes.
• Work closely with TMNA factory team members to collect and document system and user interface feedback.
• Work closely with TRI product and software / hardware development teams to iteratively prioritize new features, design improvements, and bug fixes.
• Develop and maintain adaptable and interactive web applications. Make updates to these applications based on user feedback from TMNA factory team members.
• Train appropriate factory team members on robot operations.
• Ensure clear communication and alignment across multidisciplinary teams from very different organizational cultures (TMNA and TRI).

Qualifications

The pay range for this position at commencement of employment is expected to be between $164,000 and $246,000 / year for California-based roles; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Note that TRI offers a generous benefits package (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave) and an annual cash bonus structure. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

Please reference this Candidate Privacy Notice to 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 makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s , , creed, , or expression, , , age, physical or mental , medical condition, , 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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