Engineering Manager, Robotics & AI - Lexington, KY

Posted 7 Days Ago
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Lexington, KY, USA
In-Office
Expert/Leader
Hardware
The Role
Leads robotics and AI engineering teams developing production-grade robotic systems, real-time computer vision models, ROS/ROS 2 control pipelines, and edge-deployed deep learning solutions. Owns vision pipeline architecture, object detection, segmentation, tracking, 3D pose estimation, data annotation, model training, MLOps, system integration, and performance targets. Also provides technical architecture guidance and manages engineering team capabilities.
Summary Generated by Built In
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 at Badger Technologies

About Badger Technologies
Badger Technologies, a division of Jabil, delivers autonomous robotics, AI-driven analytics, and real-time data solutions that help major retailers improve inventory accuracy, safety, pricing integrity, compliance, and overall store performance. The organization combines startup-level innovation with Jabil’s global scale and manufacturing strength.

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

 


BE AWARE OF FRAUD: When applying for a job at Jabil you will be contacted via correspondence through our official job portal with a jabil.com e-mail address; direct phone call from a member of the Jabil team; or direct e-mail with a jabil.com e-mail address. Jabil does not request payments for interviews or at any other point during the hiring process. Jabil will not ask for your personal identifying information such as a social security number, birth certificate, financial institution, driver’s license number or passport information over the phone or via e-mail. If you believe you are a victim of identity theft, contact the Federal Bureau of Investigations internet crime hotline (www.ic3.gov), the Federal Trade Commission identity theft hotline (www.identitytheft.gov) and/or your local police department. Any scam job listings should be reported to whatever website it was posted in.

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 [email protected] 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.

 

#whereyoubelong

 

#AWorldofPossibilities

 

Skills Required

  • Bachelor's degree in Computer Science, Robotics, Engineering, Artificial Intelligence, Machine Learning, or a related technical field
  • 12+ years of experience in robotics software, computer vision, AI/ML, autonomous systems, or related fields
  • 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
  • Experience with 3D vision, point cloud processing, camera calibration, and sensor fusion using RGB-D, LiDAR, cameras, or radar
  • Master's degree in a related technical field
  • Experience with fine-grained visual classification, automated Planogram compliance, or large-scale product recognition systems
  • Experience managing production AI systems
  • Familiarity with automated retraining pipelines, cloud platforms, and MLOps tools
  • Familiarity with code development frameworks and Linux in a real-time environment
  • Experience with C++ and Python
  • Hands-on experience with robotics simulators such as Isaac Sim or Gazebo
  • Experience using generative AI to create synthetic training data

Jabil Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Jabil and has not been reviewed or approved by Jabil.

  • Healthcare Strength Healthcare coverage is positioned as comprehensive, with medical, dental, vision, prescription coverage, and HRA/HSA plan options appearing consistently across role materials. Wellbeing support is also included via EAP access and additional wellbeing-oriented time such as mental-health days in some U.S. postings.
  • Retirement Support Retirement offerings include a 401(k) with company match and an Employee Stock Purchase Plan, which together strengthen long-term savings potential. Additional financial upside is supported in some roles through profit sharing and performance/quarterly bonus structures.
  • Wellbeing & Lifestyle Benefits Wellbeing and lifestyle add-ons extend beyond core insurance, including tuition reimbursement, commuter benefits, pet insurance, adoption assistance, and employee assistance resources. Community-oriented benefits such as a paid Day of Service can add perceived non-cash value alongside standard rewards.

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The Company
HQ: Saint Petersburg, FL
41,000 Employees
Year Founded: 1966

What We Do

Jabil is a product solutions company providing comprehensive design, manufacturing, supply chain and product management services.

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