AI-Driven Robotics Engineer for Smart Manufacturing

PSI; Lexington (KY); On-site; USD 85,000 - 120,000; Full time

Benefits offered by this job

Health plan (Medical, Dental & Vision)

Retirement plan (401k, IRA)

Life insurance (Basic, Voluntary)

Paid time off

Family leave (Maternity, Paternity)

Short/Long-term disability

Training & development

Job summary

PSI is seeking a Robotics Engineer to join our Advanced Technology team near Lexington, KY. You will develop and deploy AI-enabled robotic systems to enhance manufacturing capability and flexibility across North America.

You will lead integration of computer vision, ML, and sensor fusion solutions, balance latency and reliability, and collaborate with robotics and controls engineers to scale production deployments.

Qualifications

• Bachelor’s or master’s degree in robotics, CS, data science, EE or ME or related field.
• Experience deploying manufacturing automation deployments.
• Experience in robotics, AI/ML or advanced automation development.
• Full-stack mindset in collaborative teams.

Responsibilities

• Integrate and deploy AI-enabled robotic solutions to improve manufacturing capability and performance.
• Develop and implement computer vision, ML, and sensor fusion for real-world manufacturing.
• Build and optimize AI models for industrial hardware balancing latency and reliability.
• Bridge AI scripts with standard industrial automation.
• Use simulation tools (Isaac Sim, MuJoCo) for concept validation and synthetic data generation.
• Lead equipment trials, debugging, and production deployment from PoC to production.

Skills

Robotics

AI/ML

Python

C++

ROS-based systems

Computer vision

Sensor fusion

Industrial automation

Full-stack mindset

Team collaboration

Education

Robotics/CS/DS/Engineering degree

Tools

ROS

Python

C++

MuJoCo

Isaac Sim

Job description

PSI is seeking a Robotics Engineer to join our Advanced Technology team near Lexington, KY. You will develop and deploy AI-enabled robotic systems to enhance manufacturing capability and flexibility across North America.

You will lead integration of computer vision, ML, and sensor fusion solutions, balance latency and reliability, and collaborate with robotics and controls engineers to scale production deployments.