Manufacturing Engineer – AI and Robotics (Advanced Technology)

Great Bay Staffing Group•Lexington, KY

1d•$100,000 - $140,000•Onsite

About The Position

This is an applied AI and robotics role inside an automotive manufacturer's Advanced Technology department. Your job is to take Physical AI out of the lab and onto the plant floor: computer vision, machine learning, and sensor fusion solutions for real manufacturing problems like bin picking, part handling, and inspection. You would report to the Engineering Manager at a global, multi-billion dollar company, with a mandate to improve manufacturing competitiveness and reduce fixed costs across North America. Relocation is paid.

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
Experience in robotics, AI/ML, or advanced automation development
A full-stack mindset: building complete solutions with a team, not standalone AI algorithms, demos, or experiments
Strong hands-on experience in at least two of: computer vision (detection, segmentation, 3D perception), machine learning/deep learning, or robotics
Proficiency in Python, C++, and ROS-based systems, with strong software engineering fundamentals
Deep understanding of sensor types (RGBD cameras, LiDAR, Time-of-Flight sensors) and the ability to tune them for image quality, accuracy, and performance

Nice To Haves

Simulation tools such as Isaac Sim and MuJoCo for concept validation, synthetic data generation, and Sim2Real deployment
Exposure to leadership, presenting results and recommendations to management and executive leadership

Responsibilities

Integrate and deploy AI-enabled robotic solutions to improve manufacturing capability, flexibility, and performance
Build computer vision, machine learning, and sensor fusion applications for real-world manufacturing use
Optimize AI models for industrial hardware, balancing latency, reliability, and compute constraints
Bridge modern AI Python scripts and standard industrial automation
Lead and support equipment trials, debugging, and performance validation
Work with robotics engineers, controls engineers, and plant manufacturing teams to integrate AI into production systems
Evaluate emerging Physical AI technologies through benchmarking, supplier engagement, and industry events
Manage contractors designing and building testing cells
Make sure solutions meet safety, reliability, and manufacturability requirements, including applicable standards and internal risk assessments
Document your work clearly to support future scaling