Engineering Manager, Robotics & AI - Lexington, KY

Jabil; Lexington (VA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Competitive Base Salary

Annual Bonus

Medical, Dental, Vision Insurance

401K Match

Employee Stock Purchase Plan

Paid Time Off

Tuition Reimbursement

Life, AD&D, Disability Insurance

Commuter Benefits

Employee Assistance Program

Pet Insurance

Adoption Assistance

Annual Merit Increases

Community Volunteer Opportunities

Job summary

Jabil is seeking an Engineering Manager, Robotics & AI, based onsite in Lexington, KY. Lead a team of ROS/ROS 2 developers to build real-time computer vision and robot control pipelines, and oversee integration of AI with hardware in an Agile environment.

You will own the vision pipeline, develop scalable software for object detection, tracking, and 3D pose estimation, and guide data collection and model optimization for edge devices.

Qualifications

• Bachelor's degree in Computer Science, Robotics, Engineering, AI, ML or related field.
• 12+ years of experience in robotics software, computer vision, AI/ML, autonomous systems, or related fields with leadership experience.

Responsibilities

• Build and sustain smart robotic systems and data services.
• Lead ROS/ROS 2 development and integrate AI models with robot hardware.
• Oversee design of scalable software for real-time vision and control.
• Manage data collection, annotation, training, and optimization for edge deployment.

Skills

ROS/ROS 2

Computer vision

Deep learning

3D vision

Sensor fusion

C++

Python

MLOps

Edge deployment

Education

Bachelor's degree in CS/Robotics/Engineering

Master's degree preferred

Tools

ROS

ROS 2

Job description

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 usingROS/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 inROS/ROS 2architecture.
• 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

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.

Accessibility Accommodation

If you are a qualified individual with a disability, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access Jabil.com/Careers site as a result of your disability. You can request a reasonable accommodation by sending an e-mail to [e-mail] or calling 727-803-7988 with the nature of your request and contact information. Please do not direct any other general employment related questions to this e-mail or phone number. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to.

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