Manufacturing Engineer

Power Solutions International

• $80K — $95K *
Manufacturing & Automotive
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or master's degree in Robotics, Computer Science, Data Science, Electrical Engineering, Mechanical Engineering, or related field.
  • Demonstrated experience with manufacturing automation deployments.
  • Experience in robotics, AI/ML, or advanced automation development.
  • Full-stack mindset in team environments, focusing on complete solutions.
  • Strong hands-on experience in computer vision, machine learning, robotics, or software engineering.

Responsibilities

  • Collaborate with robotics and controls engineers to integrate AI into production systems.
  • Identify and implement emerging Physical AI technologies through benchmarking and supplier engagement.
  • Ensure solutions meet safety, reliability, and manufacturability standards.
  • Present technical concepts and recommendations to stakeholders and management.
  • Manage contractors for the design and construction of testing cells.
  • Produce detailed documentation for future scaling and customer enablement.

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
Full 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

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