Logo
Comprehensive Logistics Co., Inc.

Corporate Program Manager - MACHINE LEARNING and VISION SYSTEMS

Comprehensive Logistics Co., Inc., York, PA, United States


Be a part of momentum and innovation. Comprehensive Logistics Co. Inc. is accelerating its agile diversification into new markets and expanding its current market base. You’re invited to join this company where your contributions fuel the momentum!

We are a lean company who relies on workforce talent, and in return gives you the opportunity to engage in the growing third-party logistics service provider market-space differentiated by our contract manufacturing process disciplines, such as integrated robotics, vision-based error-proofing and advanced IT applications in digital material flow management.

If you are energized by solving challenges, ranging from small operational details to big strategic challenges with industry changing implications, come join us.

At Comprehensive Logistics Co. Inc. (CLI), individuals are valued for their dedication to perfecting processes and teamwork performance.

As one of the fastest-growing warehousing and logistics companies in North America, we’re looking for an experienced CORPORATE PROGRAM MANAGER – MACHINE LEARNING and VISION SYSTEMS.

POSITION RESPONSIBILITIES:

Capable of performing the following manufacturing machine learning and visions systems engineering functions:

  • Design and optimize image acquisition manufacturing equipment systems, including camera selection, optic lens selection, lighting, and calibration techniques.
  • Experience with integrating machine learning and visions manufacturing equipment systems into the manufacturing processes.
  • Troubleshoot for machine vision-related manufacturing equipment issues.
  • Experience with Phoenix PC Works, Inderbus, Devicenet, RS View, Control Logix, and general vision systems such as Cognex, Keyence, etc., and proficient with Microsoft Office Tools.
  • Manage multiple engineering projects that support plant operations.
  • These projects will range from process improvements to development and installation of new tooling.
  • Teach, lead, and continuously improve all areas of the business.
  • Interface with all aspects of operations including quality, materials, and maintenance
  • Ability to be flexible.
  • Understand CLI operations (Sequencing/sub-assembly, shipping and receiving).
  • Interface with CLI plant liaisons on a daily basis regarding any issues.
  • Project management experience to include defining scope of each projects, project team resources, and reporting out on progress.
  • Follow and improve the CLI business systems.
  • Ability to work well, develop, and lead in a team environment.
  • Partner closely with engineering to ensure continuity.

POSITION REQUIREMENTS:

  • Bachelor’s Degree in Manufacturing, Mechanical, Industrial, Controls, or Computer Engineering or equivalent experience.
  • A minimum of five (5+) years of experience and demonstrated success as a Manufacturing/Machine Learning/Visions Engineer in an Automotive Manufacturing or Assembly Facility.
  • Experience with Emerging Technologies to include Vision Systems, Machine Learning, Artificial Intelligence, and Internet of Things.
  • PMP certification is highly preferred.
  • Experience in training others is highly desired.
  • Understanding and experience of assembly, tooling, equipment, and ROBOTICS.
  • Tier 1 automotive experience is required.
  • Sub-assembly and Sequencing experience are required.
  • Start-Up, Equipment Installation and Launch experience required. Facilitate activities associated with New Product Launches between the company and customers various function teams i.e., Quality, Materials, Manufacturing, Production and Engineering.
  • Experience with AutoCAD preferred.
  • Lean Manufacturing, Process and Continuous Improvement experience is required.
  • Ability to travel 50% (+) based on business needs, providing multi-location support.

Comprehensive Logistics Inc. (CLI) is committed to creating a diverse environment and is proud to be an equal opportunity employer.