Physical AI Senior Engineer

Toyota Deutschland GmbH

Georgetown (KY)

On-site

USD 110,000 - 150,000

Full time

11 days ago

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Benefits offered by this job

Relocation assistance
Tuition reimbursement
Health care plans
401(k) with company match
Paid time off

Job summary

Toyota Deutschland GmbH in the United States is seeking a Senior Physical AI Engineer to advance AI-driven robotics in manufacturing. You will develop and deploy AI-enabled robotic systems to boost efficiency, accuracy, and automation across production lines.

The role requires a strong background in robotics, AI/ML, and industrial automation, with hands-on experience in Python, C++, and ROS, plus familiarity with vision and sensor technologies.

Qualifications

  • Bachelor’s or master’s degree in robotics, CS, data science, or related field.
  • Experience with manufacturing automation deployments.
  • Experience in robotics, AI/ML, or advanced automation.
  • Proficiency in Python, C++, and ROS-based systems.
  • Strong understanding of sensor types and image quality tuning.

Responsibilities

  • Integrate and deploy AI-enabled robotic solutions to improve manufacturing capability.
  • Develop computer vision, ML, and sensor fusion for manufacturing.
  • Lead equipment trials, debugging, and production deployment (yokoten).
  • Collaborate with robotics engineers, controls engineers, and plant teams to integrate AI into production systems.
  • Present technical concepts, results, and recommendations to stakeholders.

Skills

Robotics
AI/ML
Python
C++
ROS
Computer vision
Sensor fusion

Education

Bachelor’s or Master’s degree in Robotics, Computer Science, Data Science, Electrical Engineering, Mechanical Engineering

Tools

Isaac Sim
MuJoCo
Gazebo
PLC programming

Job description

Overview
Who we are

Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As 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.

Who we’re looking for

Toyota’sManufacturing Innovation & Transformation (MIT) – Manufacturing Center of Excellence is looking for a passionate and highly motivatedPhysical 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.

What you’ll be doing
  • 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, MuJoCo, or equivalent) to support concept validation, synthetic data generation, and Sim2Real 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.

What you bring
  • 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:

    • Computer vision (e.g., detection, segmentation, 3D perception)

    • Machine learning / deep learning

    • Robotics

  • 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.

What you may bring
  • Experience with simulation environments (e.g., Isaac Sim, MuJoCo, Gazebo,

  • or similar).

  • Experience with reinforcement learning, imitation learning, or advanced robotics AI techniques.

  • Experience with data collection strategies, including synthetic data or teleoperation-assisted learning.

  • Exposure to industrial robot programming, PLC integration, or manufacturing systems.

  • Experience working in a high-volume manufacturing environment, preferably automotive.

  • Familiarity with relevant robot safety standards (ANSI/RIA, ISO).

What we’ll bring

During your interview process, our team can fill you in on all the details of our industry-leading benefits and career development opportunities. A few highlights include:

  • A work environment built on teamwork, flexibility, and respect.

  • Professional growth and development programs to help advance your career, as well as tuition reimbursement.

  • Team Member Vehicle Purchase Discount.

  • Toyota Team Member Lease Vehicle Program (if applicable).

  • Comprehensive health care and wellness plans for your entire family.

  • Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contribute (if applicable).

  • Paid holidays and paid time off.

  • Referral services related to prenatal services, adoption, childcare, schools, and more.

  • Tax-Advantaged Accounts (Health Savings Account, Health Care FSA, Dependent Care FSA).

  • Relocation assistance (if applicable).


Belonging at Toyota

Our success begins and ends with our people. We embrace all perspectives and value unique human experiences. Respect for all is our North Star.


Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law.


Have a question, need assistance with your application or do you require any special accommodations? Please send an email to talent.acquisition@toyota.com.

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