Manufacturing Engineer - AI Robotics and Computer Vision

Manufacturing Engineer, AI Robotics and Computer Vision

Location: Lexington, KY area (about 30 minutes north of downtown)
Job Type: Full-time, Direct Hire
Pay: $100,000 to $140,000 per year

Bring AI, computer vision, and robotics out of the lab and onto the production floor at a global, multi-billion dollar manufacturer.

Must-Haves

• Bachelor’s or master’s degree in Robotics, Computer Science, Data Science, Electrical or Mechanical Engineering, or a related field (or equivalent experience)
• Experience deploying manufacturing automation
• Hands-on experience in at least two of: computer vision, machine learning/deep learning, or robotics
• Proficiency in Python, C++, and ROS
• Deep knowledge of sensors such as RGBD cameras, LiDAR, and time-of-flight
• Full-stack mindset focused on complete, production-ready solutions

What You’ll Do

• Integrate and deploy AI-enabled robotic solutions in manufacturing
• Develop computer vision, machine learning, and sensor fusion applications for bin picking, part handling, and inspection
• Optimize AI models for industrial hardware, balancing latency, reliability, and compute
• Bridge modern Python AI code with standard industrial automation
• Use simulation tools such as Isaac Sim or MuJoCo for concept validation, synthetic data, and Sim2Real
• Lead equipment trials and validation from proof of concept through production and plant-wide rollout
• Collaborate with robotics, controls, and plant manufacturing teams
• Benchmark emerging Physical AI technologies and engage suppliers
• Manage contractors building test cells
• Present results and recommendations to leadership

Nice-to-Haves

• Master’s degree in Robotics or Computer Science
• Experience with high-volume or automotive manufacturing
• 3D perception and segmentation experience

Compensation and Benefits

• $100,000 to $140,000 per year
• Full benefits package
• Long-term stability with a global industry leader

About the Company
Our client is a global, multi-billion dollar manufacturer with an Advanced Technology team focused on bringing innovative technologies into high-volume production.

To apply, submit your resume for consideration.