Automation Engineer

PSI

Stonewall Estates (KY)

On-site

USD 85,000 - 110,000

Full time

8 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 & Ho
Family Leave (Maternity, Paternity)
Short Term & Long Term Disability
Training & Development

Job summary

PSI in Lexington, KY is seeking an Automation Engineer to develop and implement AI-enabled manufacturing improvements, increasing competitiveness and reducing fixed costs across North America.

The role collaborates with robotics and controls engineers and plant teams to integrate AI into production systems and evaluate emerging Physical AI technologies while ensuring safety and reliability.

Qualifications

  • Bachelor's or master's degree in a technical field (or equivalent experience).
  • Demonstrated experience with manufacturing automation deployments.
  • Experience in robotics, AI/ML, or advanced automation development.
  • Full-stack mindset, delivering complete solutions, not just isolated AI components.
  • Hands-on experience in two of the listed areas (vision, ML, robotics, software).

Responsibilities

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

Skills

Robotics
AI/ML
Manufacturing automation
Python
C++
ROS-based systems
Computer vision
LiDAR
RGBD cameras
Time-of-Flight sensors

Education

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

Tools

Python
C++
ROS

Job description

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

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

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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