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.
