At Jabil (NYSE: JBL), we are proud to be a trusted partner for the world's top brands, offering comprehensive engineering, supply chain, and manufacturing solutions. With 60 years of experience across industries and a vast network of over 100 sites worldwide, Jabil combines global reach with local expertise to deliver both scalable and customized solutions. Our commitment extends beyond business success as we strive to build sustainable processes that minimize environmental impact and foster vibrant and diverse communities around the globe.

Job Summary - Engineering Manager, Robotics & AI - based onsite in Lexington, KY

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.

You will 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); and consult on system architectures, assessing technical requirements and competencies needed to produce a high quality product.

What can you expect to do?

• 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.

What is the experience needed to be successful in this role?

• 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 Package with Jabil

Along with growth, stability, and the opportunity to be challenged, Jabil offers a competitive benefits package that includes:

• 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

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Jabil, including its subsidiaries, is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other characteristic protected by law.

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