Manufacturing Engineer

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

Benefits offered by this job

Health Care Plan (Medical, Dental &amp

Retirement Plan (401k, IRA)

Life Insurance (Basic, Voluntary &

Paid Time Off (Vacation, Sick & PH

Family Leave (Maternity, Paternity)

Short Term & Long Term Disability

Training & Development

Job summary

PSI Pax, Inc. in Lexington, KY seeks a Manufacturing Engineer to collaborate with robotics and controls engineers to integrate AI into production systems.

You will identify and implement AI technologies, ensure safety and manufacturability, and present results to leadership. You will manage contractors for testing cells and produce documentation to enable scaling and customer support.

Qualifications

• Bachelor's or master's degree in Robotics, CS, Data Science, EE, ME or related field.
• Experience with manufacturing automation deployments.
• Experience in robotics, AI/ML or advanced automation development.
• Full-stack mindset to deliver complete solutions, not just AI demos.
• Hands-on experience in two of: computer vision, machine learning, robotics, sensors.

Responsibilities

• Collaborate cross-functionally with robotics engineers, controls engineers, and plant 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 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.

Skills

Robotics

AI/ML

Manufacturing automation

Full-stack mindset

Python

C++

ROS

Computer vision

Sensors

LiDAR

Education

Bachelor's or Master's in Robotics/CS/Data Science/EE/ME

Tools

ROS

Python

C++

Job description

Large Manufacturing company is seeking an Manufacturing Engineer in the Lexington, KY area.

What You\'ll Be Doing

• 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.

Requirements

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.

Benefits

• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k, IRA)
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Vacation, Sick & Public Holidays)
• Family Leave (Maternity, Paternity)
• Short Term & Long Term Disability
• Training & Development