AI-Driven Robotics Engineer for Smart Manufacturing

Kosmos

Lexington (KY)

On-site

USD 110,000 - 160,000

Full time

2 days ago
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Benefits offered by this job

Full benefits package

Job summary

Kosmos in Lexington, KY is seeking a skilled Robotics Engineer to drive AI-enabled automation in manufacturing. You will integrate robotics, computer vision, and sensor fusion to boost capability and efficiency across North America.

The role requires hands-on experience with robotics, AI/ML, and manufacturing deployments, plus collaboration with cross-functional teams to scale solutions safely and reliably.

Qualifications

  • Bachelor's or master's degree in a related technical field.
  • Experience with manufacturing automation deployments.
  • Experience in robotics, AI/ML, or advanced automation development.
  • Strong cross-functional collaboration and communication skills.
  • Hands-on experience in two of: computer vision, ML, or robotics.

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.
  • Build and optimize AI models for robust performance on industrial hardware.
  • Bridge the gap between AI scripts and industrial automation.
  • Utilize simulation tools to support concept validation and synthetic data generation.

Skills

Robotics
AI/ML
Python
C++
ROS-based systems

Education

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

Tools

ROS
MuJoCo
Isaac Sim

Job description

Kosmos in Lexington, KY is seeking a skilled Robotics Engineer to drive AI-enabled automation in manufacturing. You will integrate robotics, computer vision, and sensor fusion to boost capability and efficiency across North America.

The role requires hands-on experience with robotics, AI/ML, and manufacturing deployments, plus collaboration with cross-functional teams to scale solutions safely and reliably.

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