Manufacturing Engineer

PSI Pax, Inc.; Louisville (KY); On-site; USD 70,000 - 90,000; 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 &

Family Leave (Maternity, Paternity)

Short Term & Long Term Disability

Training & Development

Job summary

PSI Pax, Inc. is seeking a Manufacturing Engineer to collaborate with robotics and controls teams, driving AI into our production systems in Louisville. You will benchmark Physical AI technologies, ensure safety and reliability, and present outcomes to leadership.

The role requires hands-on work across computer vision, ML, robotics, and sensor tuning, with a focus on delivering complete, scalable solutions and thorough documentation.

Qualifications

• Bachelor's or master's degree in robotics, CS, data science, electrical or 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 demos.
• Hands-on in at least two: computer vision, machine learning/deep learning, or robotics.
• Proficiency in Python, C++ and ROS; solid software fundamentals.
• Understanding of sensors (RGB-D, LiDAR, ToF) and tuning for image quality.

Responsibilities

• Collaborate cross-functionally with robotics, controls, and plant teams to integrate AI into production systems.
• Identify and benchmark emerging Physical AI technologies with suppliers and industry events.
• Ensure safety, reliability, and manufacturability; align with standards and risk assessments.
• Present technical concepts, results, and recommendations to stakeholders and leadership.
• Manage contractors to design and construct testing cells.
• Produce clear, detailed documentation to support scaling and customer enablement.

Skills

Cross-functional collaboration

Full-stack mindset

Team-oriented development

Analytical problem solving

Safety and reliability mindset

Education

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

Tools

Python

C++

ROS-based systems

Job description

Large Manufacturing company is seeking an Manufacturing Engineer.

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