Physical AI Senior Engineer
Georgetown, DE - USA
Job Summary
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 worlds 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. Were 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 were looking for
ToyotasManufacturing 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 Groups objective to improve manufacturing competitiveness.
Reporting to the Engineering Manager the person in this role will support the Advanced Technology departments objective to learn and confirm innovative technologies for vehicle manufacturing.
What youll 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
Bachelors or masters 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 well 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 .
Required Experience:
Senior IC
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