Manufacturing Engineer

PSI

Lexington (KY)

On-site

USD 75,000 - 110,000

Full time

5 days ago
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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 in Lexington, KY is seeking a Manufacturing Engineer to optimize production systems and lead AI-enabled automation initiatives.

You will collaborate with robotics, controls and plant teams to deploy AI-automation solutions, evaluate emerging technologies, and ensure safety and reliability while delivering scalable documentation and training for manufacturing adoption.

Qualifications

  • Bachelor’s or Master’s degree in Robotics, Computer Science, Data Science, Electrical/Mechanical Engineering, or related field (or equivalent experience).
  • Experience deploying manufacturing automation solutions.
  • Experience in robotics, AI/ML or advanced automation development.
  • Full-stack mindset; ability to deliver complete solutions, not just AI demos.
  • Hands-on experience in two or more of: computer vision, ML/DL, robotics, Python/C++, ROS-based systems, imaging sensors like RGBD/LiDAR.

Responsibilities

  • Collaborate with robotics, controls, and plant teams to integrate AI into production systems.
  • Evaluate and implement emerging Physical AI technologies via benchmarking and supplier engagement.
  • Ensure safety, reliability, and manufacturability with applicable standards and risk assessments.
  • Present technical concepts and results to stakeholders and leadership.
  • Manage contractors to design and build testing cells.
  • Produce clear documentation to support scaling and customer enablement.

Skills

Python
C++
ROS-based systems
Computer vision
Machine learning
Robotics
Software fundamentals

Education

Bachelor’s or Master’s in Robotics / CS / Electrical / Mechanical Engineering or related field

Tools

ROS

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.

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.
  • 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
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