Advanced Mfg Engineer Sr Adv

Honeywell Honeywell · Industrial · Juarez, CHH, Mexico

This role focuses on advanced manufacturing engineering, optimizing processes, and implementing technologies like automation and robotics. While it mentions using AI/ML for specific tasks like quality control and logistics, the core of the role is in traditional manufacturing engineering, not AI model development.

What you'd actually do

  1. Lead manufacturing engineering processes to optimize operations and improve efficiency
  2. Implement process optimization strategies to enhance productivity and quality
  3. Utilize automation and robotics technologies to streamline manufacturing processes
  4. Introduce new projects establishing process parameters, mechanical dimensions and ensure their successful integration into manufacturing operations.
  5. Collaborate with cross-functional teams to drive continuous improvement initiatives

Skills

Required

  • Bachelor’s degree in engineering graduated preferably in electronics, mechatronic or mechanical-electrical Engineering
  • 10+ years’ experience in electronic products manufacturing engineering
  • Electronic Manufacturing and Components Fabrication Automation of complete assemblies (beyond just PCBA, SMT)
  • Knowledge of IPC 610, IPC 7711 & IPC 7721
  • Strong knowledge of advanced manufacturing technologies, such as automation, robotics, and additive manufacturing
  • In dept knowledge of SMT, PTH, TEST and automation processes
  • Proven track record of driving operational excellence and process improvements
  • Experience on design for manufacturability (DFM) guidelines of PCBA
  • Technical knowledge: continuous improvement, line balancing, layout elaboration, purchase of machinery and tools, taking and reduction of operating times, ergonomics, elaboration of standard process sheets
  • Proven track record of successfully introducing new projects into manufacturing operations
  • Prior experience in product manufacturing engineering is essential to effectively support your team and manage the manufacturing process
  • LEAN Manufacturing (Value Stream Mapping, Lean Finance, Kaizen Execution, Standard Work, Visual Management, TPM, OEE, SMED, A3 Problem Solving, etc.)
  • Excellent problem-solving and analytical skills
  • Strong communication and interpersonal skills
  • Must be very hands on, good for teaching and coaching and with excellent leadership skills
  • Ability to effectively present information to top management, public groups, and/or boards of directors
  • Strict PM schedule follow-up
  • Bilingual Spanish/English

Nice to have

  • Ability to work effectively in cross-functional teams
  • Experience in a leadership role within manufacturing engineering
  • Knowledge of electronic industry best practices and emerging trends in manufacturing engineering
  • Project management experience
  • Master Degree
  • Black Belt/ Master Black Belt Certification
  • Knowledge of lean manufacturing principles and methodologies
  • Continuous improvement mindset and passion for innovation
  • Commitment to continuous learning and professional development
  • Strong analytical and problem-solving skills
  • Ability to work effectively in cross-functional teams
  • Ability to work effectively in a fast-paced and dynamic environment
  • Strong analytical and critical thinking skills
  • Ability to mentor and develop junior engineers
  • Strong analytical

What the JD emphasized

  • 10+ years’ experience in electronic products manufacturing engineering
  • Electronic Manufacturing and Components Fabrication Automation of complete assemblies (beyond just PCBA, SMT).
  • Strong knowledge of advanced manufacturing technologies, such as automation, robotics, and additive manufacturing
  • In dept knowledge of SMT, PTH, TEST and automation processes.
  • Proven track record of driving operational excellence and process improvements
  • Proven track record of successfully introducing new projects into manufacturing operations.
  • Prior experience in product manufacturing engineering is essential to effectively support your team and manage the manufacturing process

Other signals

  • Use of Artificial intelligence and machine learning to automate aspects of quality control, maintenance logistics and inventory control.