Manufacturing Engineer

PSI

14 days+

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Health Insurance

401k/Retirement plan

Life Insurance

Paid Time Off

Family Leave

Disability Insurance

Training & Development

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:

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.

Robotics

AI/ML

Computer vision

Machine learning

Python

C++

ROS-based systems

Sensing technologies

Bachelor’s or Master’s degree in Robotics, Computer Science, Data Science, Electrical Engineering, Mechanical Engineering

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