Manufacturing Engineer - Robotic Bin Picking and AI Vision

Ilocatum; Lexington (KY); On-site; USD 100,000 - 140,000; Full time

Job summary

Ilocatum is seeking a Manufacturing Engineer to develop and deploy AI-enabled robotic solutions in a North American manufacturing setting. You will integrate AI, robotics, and vision systems to enhance production capability and efficiency.

The role focuses on building AI models, simulating concepts with tools like Isaac Sim or MuJoCo, and leading cross-functional collaboration with robotics and plant teams. Direct impact on production lines is expected.

Qualifications

• Bachelor’s or master’s degree in Robotics, Computer Science, Data Science, Electrical Engineering, Mechanical Engineering or related field.
• Experience with manufacturing automation deployments.
• Experience in robotics, AI/ML, or advanced automation development.
• Full-stack mindset, delivering complete solutions, not just AI algorithms or demos.
• Hands-on experience in at least two of: computer vision, machine learning, robotics, Python/C++, ROS, sensors.

Responsibilities

• Integrate and deploy AI-enabled robotic solutions to improve manufacturing capability, flexibility, and performance.
• Develop and implement computer vision, ML, and sensor fusion for real-world manufacturing applications.
• Build and optimize AI models for robotics hardware with latency and reliability considerations.
• Bridge AI scripts with industrial automation systems and controls.

Skills

Python

C++

ROS

Computer vision

Machine learning

Robotics

Education

Bachelor’s or Master’s degree in Robotics, Computer Science, Data Science, Electrical Engineering, Mechanical Engineering

Tools

ROS

Python

Isaac Sim

MuJoCo

Job description

Job description:

Global multi-billion dollar company about 30 minutes north of downtown Lexington, KY area has a need for a Manufacturing Engineer. This is a direct hire role with a full benefits package.

The primary responsibility of this role is to develop and implement innovative activities, improving manufacturing competitiveness and reducing fixed costs in North America

Reporting to the Engineering Manager the person in this role will support the Advanced Technology department’s objective to learn and confirm innovative technologies for vehicle manufacturing.

What you’ll be doing

• Integrate and deploy AI-enabled robotic solutions to improve manufacturing capability, flexibility, and performance.
• Develop and implement computer vision, machine learning, and sensor fusion solutions for real-world manufacturing applications (e.g., bin picking, part handling, inspection).
• Build and optimize AI models for robust performance on industrial hardware, balancing latency, reliability, and compute constraints.
• Bridge the gap between modern AI Python scripts and standard industrial automation.
• Utilize simulation tools (e.g., Isaac Sim, MuJoCo, or equivalent) to support concept validation, synthetic data generation, and Sim2Real deployment.
• Lead and support equipment trials, debugging, and performance validation from proof-of-concept through production deployment (yokoten).
• Collaborate cross-functionally with robotics engineers, controls engineers, and plant manufacturing teams to integrate AI into production systems.
• Identify, evaluate, and implement emerging Physical AI technologies through benchmarking, supplier engagement, and industry events.
• Ensure solutions meet safety, reliability, and manufacturability requirements, including alignment with applicable standards and internal risk assessments.
• Present technical concepts, results, and recommendations to stakeholders, management, and executive leadership.
• Manage contractors to design and construct testing cells.
• Produce clear, detailed documentation to support future scaling and customer enablement.

Qualifications:

What you bring

• Bachelor’s or master’s degree in Robotics, Computer Science, Data Science, Electrical Engineering, Mechanical Engineering, or related technical field (or equivalent experience).
• Demonstrated experience with manufacturing automation deployments.
• Experience in robotics, AI/ML, or advanced automation development.
• Having a full-stack mindset while working in team environments building complete solutions, not just independent AI algorithms, demonstrations, and experiments.
• Strong hands-on experience in at least two of the following:

• Computer vision (e.g., detection, segmentation, 3D perception)
• Machine learning / deep learning
• Robotics
• Proficiency in Python, C++, ROS-based systems; strong software engineering fundamentals.
• Deep understanding of different sensor types (RGBD cameras, LiDAR, Time-of-Flight sensors, etc.) and the ability to tune for image quality accuracy and performance.

Why is This a Great Opportunity:

Global Leader rarely lays off amazing benefits and stability

Salary Type : Annual Salary

Salary Min : $ 100000

Salary Max : $ 140000

Currency Type : USD