Robotics Engineer

PSI Pax, Inc.; Louisville (KY); On-site; USD 90,000 - 150,000; Full time

Benefits offered by this job

Health Care Plan (Medical, Dental &amp

Retirement Plan (401k, IRA)

Life Insurance (Basic, Voluntary &

Paid Time Off (Vacation, Sick & P

Family Leave (Maternity, Paternity)

Short Term & Long Term Disability

Training & Development

Job summary

PSI Pax, Inc. in Kentucky is seeking a Robotics Engineer to advance AI-enabled automation in manufacturing. The role reports to Engineering Manager and supports Advanced Technology initiatives to learn and validate innovative technologies for vehicle manufacturing.

You will integrate AI, computer vision, machine learning, and sensor fusion, deploy simulation tools, lead equipment trials, and collaborate with robotics, controls, and plant teams to deploy production-ready solutions.

Qualifications

• Bachelor's or master's degree in Robotics, Computer Science, Data Science, Electrical/Mechanical Engineering, or related field (or equivalent experience).
• Demonstrated experience with manufacturing automation deployments.
• Experience in robotics, AI/ML, or advanced automation development.

Responsibilities

• Integrate and deploy AI-enabled robotic solutions to improve manufacturing capability, flexibility, and performance.
• Develop and implement computer vision, machine learning, and sensor fusion solutions for real-world manufacturing applications (e.g., bin picking, part handling, inspection).
• Build and optimize AI models for robust performance on industrial hardware, balancing latency, reliability, and compute constraints.
• Bridge the gap between modern AI Python scripts and standard industrial automation.
• Utilize simulation tools (e.g., Isaac Sim, MuJoCo, or equivalent) to support concept validation, synthetic data generation, and Sim2Real deployment.
• Lead and support equipment trials, debugging, and performance validation from proof-of-concept through production deployment (yokoten).
• 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.

Skills

Robotics

AI/ML

Computer Vision

Python

C++

ROS

Sensor Fusion

Education

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

Tools

ROS

Python

C++

Isaac Sim

Job description

Global multi-billion dollar company about 30 minutes north of downtown Lexington, KY area has a need for a Robotics Engineer. This is a direct hire role with a full benefits package.
The primary responsibility of this role is to develop and implement innovative activities, improving manufacturing competitiveness and reducing fixed costs in North America
Reporting to the Engineering Manager the person in this role will support the Advanced Technology department's objective to learn and confirm innovative technologies for vehicle manufacturing.

What You'll Be Doing

• Integrate and deploy AI-enabled robotic solutions to improve manufacturing capability, flexibility, and performance.
• Develop and implement computer vision, machine learning, and sensor fusion solutions for real-world manufacturing applications (e.g., bin picking, part handling, inspection).
• Build and optimize AI models for robust performance on industrial hardware, balancing latency, reliability, and compute constraints.
• Bridge the gap between modern AI Python scripts and standard industrial automation.
• Utilize simulation tools (e.g., Isaac Sim, MuJoCo, or equivalent) to support concept validation, synthetic data generation, and Sim2Real deployment.
• Lead and support equipment trials, debugging, and performance validation from proof-of-concept through production deployment (yokoten).
• 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're Bringing

• 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