Engineering Manager, Robotics & AI - Lexington, KY

About the role

As an Engineering Manager, Robotics & AI you will focus on building and sustaining smart, physical robotic systems and the data services enabled through them. You will direct a team of ROS and CV/AI software developers to design, train, and deploy real-time computer vision models and robot control pipelines using ROS/ROS 2 in an Agile/Scrum environment, and oversee the integration of AI models with physical robot hardware, achieving goals for feature development and maintenance, vision model accuracy, and system latency.

Key responsibilities

• Own the vision pipeline and drive the design of scalable software for real-time object detection, segmentation, tracking, and 3D pose estimation
• Lead the development of new ROS nodes for product enhancement
• Oversee data collection, annotation, training, and optimization of deep learning models for deployment on edge devices
• Ensure seamless connection between vision pipelines and robot control software (ROS/ROS 2)
• Consult on system architectures, assessing technical requirements and competencies needed to produce a high quality product

Required technical expertise

• Strong background in ROS/ROS 2 architecture
• Deep knowledge of computer vision and deep learning tools, with experience in 3D vision, point cloud processing, camera calibration, and sensor fusion (RGB-D, LiDAR, cameras, radar)
• Experience with fine-grained visual classification, automated Planogram compliance, or millions-of-SKU product recognition systems
• Track record of managing production AI systems
• Familiarity with deploying and scaling automated retraining pipelines using cloud platforms (AWS, GCP, or Azure) and MLOps tools (Kubeflow, MLflow)
• Familiar with code development frameworks, using Linux in a real-time environment, and C++ and Python languages
• Hands-on experience using robotics simulators (e.g., Isaac Sim, Gazebo) and generative AI to create synthetic training data for rare edge cases is a plus

Qualifications

• Bachelor's degree in Computer Science, Robotics, Engineering, Artificial Intelligence, Machine Learning, or a related technical field required; Master's degree preferred
• 12+ years of experience in robotics software, computer vision, AI/ML, autonomous systems, or related fields, including leadership experience managing engineering teams
• Strong background in ROS/ROS 2 architecture and development of production-grade robotic systems
• Deep knowledge of computer vision and deep learning, including experience with 3D vision, point cloud processing, camera calibration, and sensor fusion (RGB-D, LiDAR, cameras, radar)

Benefits

• Competitive Base Salary
• Annual Bonus
• Medical, Dental, Prescription Drug, and Vision Insurance with HRA and HSA options
• 401K Match
• Employee Stock Purchase Plan
• Paid Time Off
• Tuition Reimbursement
• Life, AD&D, and Disability Insurance
• Commuter Benefits
• Employee Assistance Program
• Pet Insurance
• Adoption Assistance
• Annual Merit Increases
• Community Volunteer Opportunities