Manufacturing Project Engineer

Caterpillar Caterpillar · Industrial · Sanford, NC

The Manufacturing Project Engineer role at Caterpillar focuses on driving operational excellence by leading projects to improve safety, quality, efficiency, and production stability in manufacturing. This involves supporting the development of modern manufacturing capabilities, leading initiatives for new product introductions and process improvements, and identifying opportunities to enhance operational efficiency. The role also bridges research and development with manufacturing, transitioning innovative ideas into scalable solutions using technical expertise and data-driven insights. Key responsibilities include deploying physical automation technologies, supporting projects in robotics, automation systems, asset connectivity, machine learning, and vision-based applications, evaluating processes for automation opportunities, designing and testing automation concepts, and supporting the installation and commissioning of automation equipment. The role requires a Bachelor's degree in a relevant engineering discipline and strong skills in decision-making, critical thinking, manufacturing engineering, and project management.

What you'd actually do

  1. Research, develop, and deploy physical automation technologies to improve manufacturing process capability, efficiency, quality, and cost
  2. Support projects across robotics, automation systems, asset connectivity, machine learning, and vision-based manufacturing applications
  3. Evaluate existing manufacturing processes and equipment to identify automation opportunities, gaps, and improvement potential
  4. Design, develop, test, and validate automation concepts, prototypes, and pilot systems prior to production deployment
  5. Support installation, commissioning, ramp-up, and stabilization of automation equipment in manufacturing and supplier environments

Skills

Required

  • Bachelor’s degree in mechanical engineering, Mechatronics Engineering, Robotics Engineering, Industrial Engineering, Manufacturing Engineering, Electrical Engineering, or a related discipline or demonstrate equivalent knowledge through professional expertise
  • Applies structured decision-making techniques
  • Identifies, organizes, and evaluates relevant data and alternatives
  • Assesses risks and tradeoffs impacting manufacturing performance
  • Assists with manufacturing problem resolution and supports drafting engineering specifications and standard practices
  • Works with routine manufacturing engineering tools, equipment, and processes
  • Performs basic installation, maintenance, and repair activities within a defined engineering function
  • Follows established engineering standards, policies, and procedures
  • Identifies and escalates unusual manufacturing or engineering issues to senior staff
  • Uses standard project management tools to estimate cost, timelines, and resource needs
  • Plans, organizes, and monitors manufacturing projects to meet scope, schedule, and cost objectives
  • Identifies project risks and develops mitigation and contingency plans
  • Leads project reviews with cross-functional teams and stakeholders
  • Maintains clear communication and reporting throughout the project lifecycle

Nice to have

  • research and development

What the JD emphasized

  • physical automation technologies
  • robotics, automation systems, asset connectivity, machine learning, and vision-based manufacturing applications
  • automation opportunities, gaps, and improvement potential
  • automation concepts, prototypes, and pilot systems
  • installation, commissioning, ramp-up, and stabilization
  • Safety, Quality, Velocity, and Cost

Other signals

  • leading high-impact projects that improve safety, quality, efficiency, and production stability
  • support development of modern manufacturing capabilities
  • lead initiatives related to new product introductions, process improvements, and equipment integration
  • identifying opportunities to enhance operational efficiency
  • support the transition of innovative ideas into scalable, production-ready solutions
  • leveraging technical expertise, data-driven insights, and collaboration
  • bridge development and manufacturing to deliver reliable, high-quality outcomes