Senior Robotics Engineer
Based in the Georgetown, Kentucky area
Toyota Research Institute
TRI is assembling a world-class team 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 will develop, deploy, and validate systems in real-world environments, in and around homes.
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.
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 applicant’s 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.
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
- BS in an engineering-related field and 5+ years of relevant industry experience
- Experience with advanced robot development, deployment, failure analysis, and debugging
- Experience with solving complex electromechanical systems
- Familiarity with actuators (including motor controllers, gear trains, encoders, etc.) and sensors (f/t sensors, cameras, lidars, IMUs, etc.)
- Familiarity with various buses and communication protocols: USB, CAN, RS485, EtherCAT, Ethernet/IP, etc.
- Proficient in one or more of the following languages: C, C++, or Python
- Proficient in one or more of the following languages: HTML, CSS, and JavaScript/TypeScript
- Software experience: ROS or other robot system software
- Experience with Linux (kernel, networking, CLI, etc.)
- Ability to travel up to 75% of the time
- Have a passion for taking on technical challenges and an independent working style with strong problem-solving abilities
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 applicant’s 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
Engineering Jobs
Tags: Core ML Engineering Industrial JavaScript Linux Machine Learning Privacy Python Research Robotics Travel TypeScript
Region:
North America
Country:
United States
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