Physical AI Senior Engineer

Location: Georgetown, Kentucky, United States; onsite manufacturing role.

Company

hirify.global develops automotive and mobility solutions and is advancing manufacturing innovation through its Manufacturing Innovation & Transformation organization.

What you will do

• Integrate and deploy AI-enabled robotic solutions to improve manufacturing capability, flexibility, and performance.
• Develop computer vision, machine learning, sensor fusion, and robotics solutions for bin picking, part handling, inspection, and other manufacturing applications.
• Build and optimize AI models for industrial hardware while balancing latency, reliability, and compute constraints.
• Use simulation tools such as Isaac Sim or MuJoCo for concept validation, synthetic data generation, and Sim2Real deployment.
• Lead equipment trials, debugging, performance validation, and production deployment while collaborating with robotics, controls, and plant manufacturing teams.
• Evaluate emerging Physical AI technologies, manage contractors building testing cells, present recommendations, and document solutions for scaling.

Requirements

• Bachelor’s or master’s degree in Robotics, Computer Science, Data Science, Electrical Engineering, Mechanical Engineering, or a related technical field, or equivalent experience.
• Demonstrated experience with manufacturing automation deployments and experience in robotics, AI/ML, or advanced automation development.
• A full-stack mindset with experience building complete solutions in team environments, not only independent algorithms, demonstrations, or experiments.
• Strong hands-on experience in at least two of computer vision, machine learning/deep learning, and robotics.
• Proficiency in Python, C++, and ROS-based systems, with strong software engineering fundamentals.
• Experience working in a high-volume manufacturing environment, preferably automotive.
• Must have the right to work in the United States and must not require hirify.global immigration support or employment-based visa sponsorship now or in the future.

Nice to have

• Experience with Isaac Sim, MuJoCo, Gazebo, or similar simulation environments.
• Experience with reinforcement learning, imitation learning, or advanced robotics AI techniques.
• Experience with synthetic data, teleoperation-assisted learning, or other data collection strategies.
• Exposure to industrial robot programming, PLC integration, or manufacturing systems.
• Understanding of RGBD cameras, LiDAR, Time-of-Flight sensors, and sensor tuning for image quality, accuracy, and performance.
• Familiarity with ANSI/RIA and ISO robot safety standards.

Culture & Benefits

• Team-oriented, flexible, and respectful work environment.
• Professional growth programs and tuition reimbursement.
• Health care, wellness plans, paid holidays, and paid time off.
• 401(k) plan with company match and possible annual retirement contribution.
• Vehicle purchase and lease programs, tax-advantaged accounts, family support services, and possible relocation assistance.