AI-Driven Manufacturing Engineer: Robotics & Automation

PSI

Lexington (VA)

On-site

USD 75,000 - 110,000

Full time

4 days ago
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Benefits offered by this job

Health, dental & vision
401k & IRA
Life Insurance
Paid Time Off
Family Leave
Disability
Training & Development

Job summary

PSI is seeking a Manufacturing Engineer in the Lexington area to drive AI-enabled automation across production lines. You will work with robotics, controls, and plant teams to implement advanced automation and improve overall efficiency.

The role requires hands-on experience with AI/ML, robotics, and manufacturing deployments, along with a full-stack mindset to deliver complete solutions including software and hardware interfaces.

Qualifications

  • BS or MS in robotics, CS, data science, EE, ME or related field.
  • Experience deploying manufacturing automation deployments.
  • Experience in robotics, AI/ML, or advanced automation development.

Responsibilities

  • Collaborate with robotics, controls, and manufacturing teams to integrate AI into production systems.
  • Identify, evaluate, and benchmark emerging physical AI technologies through benchmarking, supplier engagement, and industry events.
  • Ensure safety, reliability, and manufacturability with standards and internal risk assessments.
  • Present technical concepts, results, and recommendations to stakeholders and leadership.
  • Manage contractors to design and construct testing cells.
  • Produce clear documentation to enable scaling and customer enablement.

Skills

Python
C++
ROS
Software engineering fundamentals
Computer vision
Machine learning
Robotics
Sensor technology

Education

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

Tools

ROS

Job description

PSI is seeking a Manufacturing Engineer in the Lexington area to drive AI-enabled automation across production lines. You will work with robotics, controls, and plant teams to implement advanced automation and improve overall efficiency.

The role requires hands-on experience with AI/ML, robotics, and manufacturing deployments, along with a full-stack mindset to deliver complete solutions including software and hardware interfaces.

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