Senior Robotics Engineer at Toyota Research Institute

Georgetown, Kentucky, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, Robotics, ManufacturingIndustries

Requirements

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

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)

Skills

Robotics

Machine Learning

Linux

PLCs

Autonomous Robots

Mobile Manipulation

AMRs

Hardware Repair

Software Debugging

Fleet Management

Troubleshooting

Toyota Research Institute

Research in mobility, safety, and automation

About Toyota Research Institute

Toyota Research Institute focuses on improving mobility through research and development in the automotive and technology sectors. The company works on enhancing safety, automated driving, robotics, materials science, and machine learning. Their products include advanced safety features and automated driving systems that aim to make driving safer and more efficient. Unlike many competitors, TRI emphasizes a research-driven approach, collaborating with various partners and licensing their innovations to enhance Toyota's offerings and maintain a competitive edge. The goal of TRI is to advance mobility solutions that improve quality of life and support the transition to zero-emissions transportation.

Los Altos, CaliforniaHeadquarters

2016Year Founded

$100MTotal Funding

SEEDCompany Stage

Robotics & Automation, Automotive & Transportation, AI & Machine LearningIndustries

201-500Employees

Benefits

Highly competitive benefits package

Robust programs to support the wellbeing, happiness, and health of our people and their families.

401(k) plan including matching and annual profit sharing along with total vacation and holidays totaling 38 days per year.

Subsidized commuter benefits and generous employee and vehicle allowances

2 paid days per year to participate in volunteer activities.

Maternity Leave program with 10 paid weeks plus baby bonding leave and Milk Stork for traveling moms

Baby Bonding Leave–an additional 16 paid weeks–to all new parents, including those who choose to adopt.

Back-up child and adult / elder care programs to help everyone thrive

WellBeats Virtual Fitness Trainer.

Risks

Public skepticism may undermine AI-assisted driving safety initiatives.

Boston Dynamics' high costs could impact TRI's humanoid robot project returns.

Complexity of real-world environments may delay TRI's robot skill deployment.

Differentiation

TRI focuses on AI to enhance human life and mobility.

Partnerships with Boston Dynamics and Stanford showcase TRI's collaborative innovation.

TRI's Driving Sensei concept integrates AI to improve driver skills and engagement.

Upsides

Generative AI allows TRI's robots to learn complex tasks without new coding.

TRI's AI-driven material synthesis could revolutionize EV battery development.

Autonomous tandem drifting collaboration with Stanford pushes vehicle dynamics boundaries.

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