Manufacturing Project Engineer

Caterpillar Caterpillar · Industrial · Mossville, IL

The role focuses on researching, developing, and deploying physical automation technologies in manufacturing, including robotics, machine learning, and vision systems, to improve process capability, efficiency, quality, and cost. It involves evaluating existing processes, designing and testing automation concepts, and supporting installation and commissioning.

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. Lead or contribute to automation initiatives supporting New Product Introduction (NPI), Continuous Product Improvement (CPI), and manufacturing transformation efforts
  4. Evaluate existing manufacturing processes and equipment to identify automation opportunities, gaps, and improvement potential
  5. Design, develop, test, and validate automation concepts, prototypes, and pilot systems prior to production deployment

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
  • 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.
  • Loads and updates robot programs and operating instructions.
  • Troubleshoots common robotics and automation issues.
  • Supports basic robotic systems performing manufacturing tasks.
  • Evaluates processes for automation opportunities and researches alternative solutions.
  • Assists with space, cost, and feasibility analysis for robotic equipment.
  • Diagnoses automation, controls, hardware, software, and connectivity issues
  • Uses vendor tools, diagnostics, and standard troubleshooting procedures
  • Supports root cause analysis and corrective action implementation
  • Develops effective technical solutions to automation and manufacturing challenges
  • Applies engineering standards, procedures, and best practices
  • Supports automation system design, integration, testing, and optimization
  • Helps others resolve technical or procedural issues

Nice to have

  • Experience with robot programming and/or PLC programming
  • Experience with machine tool connectivity and networked manufacturing systems
  • Experience with 3D modeling or simulation tools
  • Experience with machine learning

What the JD emphasized

  • physical automation technologies
  • robotics
  • automation systems
  • machine learning
  • vision‑based manufacturing applications
  • automation opportunities
  • automation concepts
  • automation equipment
  • automation, controls, hardware, software, and connectivity issues
  • automation system design, integration, testing, and optimization
  • robot programming
  • PLC programming
  • machine tool connectivity
  • networked manufacturing systems
  • 3D modeling or simulation tools
  • machine learning

Other signals

  • automation solutions
  • robotics
  • machine learning
  • vision-based manufacturing