Physical AI Senior Engineer

Overview Who we are

Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like  one of the world’s most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We’re looking for talented team members who want to Dream. Do. Grow.

with us.

Toyota does not offer support or sponsorship of job applicants for employment-based visas or any other work authorization for this role now or in the future. You must have the right to work in the United States and not require Toyota support or sponsorship for immigration-related employment (e.g., H-1B, O-1, E-3, H-1B1, TN, F-1 OPT, F-1 STEM OPT, F-1 CPT, ‘job flexibility benefits’ [also known as I-140 or Adjustment of Status portability], etc.)

now or in the future. You should not apply for this role if you will require Toyota to assist with immigration support or sponsorship now or in the future.

Toyota’sManufacturing Innovation & Transformation (MIT) – Manufacturing Center of Excellence is looking for a passionate and highly motivated Physical AI Senior Engineer

The primary responsibility of this role is to develop and implement innovative activities, improving manufacturing competitiveness and reducing fixed costs in North America

Reporting to the MIT Manager, the person in this role will support the Production Engineering Division and SOAR Group’s objective to improve manufacturing competitiveness.

Reporting to the Engineering Manager the person in this role will support the Advanced Technology department’s objective to learn and confirm innovative technologies for vehicle manufacturing.

• Integrate and deploy AI-enabled robotic solutions to improve manufacturing capability, flexibility, and performance.

• Develop and implement computer vision, machine learning, and sensor fusion solutions for real-world manufacturing applications (e.g., bin picking, part handling, inspection).

• Build and optimize AI models for robust performance on industrial hardware, balancing latency, reliability, and compute constraints.

• Bridge the gap between modern AI Python scripts and standard industrial automation.

• Utilize simulation tools (e.g., Isaac Sim, Mu Jo Co , or equivalent) to support concept validation, synthetic data generation, and Sim2
  
  Real deployment.

• Lead and support equipment trials, debugging, and performance validation from proof-of-concept through production deployment (yokoten).

• Collaborate cross-functionally with robotics engineers, controls engineers, and plant manufacturing teams to integrate AI into production systems.

• Identify, evaluate, and implement emerging Physical AI technologies through benchmarking, supplier engagement, and industry events.

• Ensure solutions meet safety, reliability, and manufacturability requirements, including alignment with applicable standards and internal risk assessments.

• Present technical concepts, results, and recommendations to stakeholders, management, and executive leadership.

• Manage contractors to design and construct testing cells.

• Produce clear, detailed documentation to support future scaling and customer enablement.

• Bachelor’s or master’s degree in Robotics, Computer Science, Data Science, Electrical Engineering, Mechanical Engineering, or related technical field (or equivalent experience).

• Demonstrated experience with manufacturing automation deployments.

• Experience in robotics, AI/ML, or advanced automation development.

• Having a full-stack mindset while working in team environments building complete solutions, not just independent AI algorithms, demonstrations, and experiments.

• Strong hands-on experience in at least two of the following:

• Proficiency in Python, C++, ROS-based systems; strong software engineering fundamentals.

• Deep understanding of different sensor types (RGBD cameras, LiDAR, Time-of-Flight sensors, etc.) and the ability to tune for image quality accuracy and performance.

• Experience with simulation environments (e.g., Isaac Sim, Mu Jo Co , Gazebo,

• or similar).

• Experience with reinforcement…