Robotics Engineer

PSI; United States; On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Health care plan

Retirement plan

Life Insurance

Paid Time Off

Family Leave

Disability insurance

Training & Development

Job summary

PSI, located near Lexington, KY, seeks a Robotics Engineer to develop and deploy AI-enabled robotic systems for manufacturing. You will improve capability, flexibility, and performance across North America, reporting to the Engineering Manager.

You will drive computer vision, ML, and sensor fusion for real-world applications, validate concepts with simulation tools, and guide production deployment from PoC to scaling.

Qualifications

• 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, Machine learning/deep learning, Robotics, Python/C++, ROS-based systems; sensor types (RGBD, LiDAR, ToF).

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) to support concept validation and Sim2Real deployment.
• Lead and support equipment trials, debugging, and performance validation from PoC through production deployment.
• Collaborate cross-functionally with robotics engineers, controls engineers, and plant teams to integrate AI into production systems.
• Identify, evaluate, and implement emerging Physical AI technologies through benchmarking and supplier engagement.
• Ensure solutions meet safety, reliability, and manufacturability requirements with standards alignment.
• Present concepts, results, and recommendations to stakeholders and leadership.
• Manage contractors to design and construct testing cells.
• Produce clear documentation to support future scaling and enablement.

Skills

Python

C++

ROS

Computer Vision

Machine Learning

Robotics

Sensor Fusion

Education

Bachelor's degree or higher in Robotics/CS/EE/ME

Tools

ROS-based systems

Industrial automation

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.

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