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Principal Manufacturing Automation Engineer

Nokia
USA
Full-time
Senior · 10+ years experience
Onsite
Discovered 1 months ago
sql

Full Job Posting

Responsibilities

  • Architect and lead development of automation systems for advanced test and packaging cells supporting precision electro-optical (photonic) device manufacturing.
  • Serve as the senior technical authority for automated optical test, alignment, and packaging processes, translating manufacturing quality and capacity requirements into automation system designs.
  • Lead integration of AI-based machine vision systems for defect detection, precision alignment, in-line inspection, and statistical process control.
  • Define automation architecture standards (mechanical, controls, vision, data) across the automation team and drive design reviews.
  • Partner with product, test, and process engineering to identify opportunities that improve yield, throughput, and cycle time.
  • Own root cause investigation and resolution of complex automation equipment issues impacting production output.
  • Mentor and provide technical guidance to mid-career automation engineers; review designs and system architectures.
  • Evaluate and select automation equipment, vision hardware, robotics, and integration partners/vendors.
  • Develop and maintain documentation, specifications, and validation protocols for automated systems in a regulated manufacturing environment.
  • Support capital equipment justification and capacity planning for automation investments.
  • Architect and lead development of automation systems for advanced test and packaging cells supporting precision electro-optical (photonic) device manufacturing. Serve as the senior technical authority for automated optical test, alignment, and packaging processes, translating manufacturing quality and capacity requirements into automation system designs. Lead integration of AI-based machine vision systems for defect detection, precision alignment, in-line inspection, and statistical process control. Define automation architecture standards (mechanical, controls, vision, data) across the automation team and drive design reviews. Partner with product, test, and process engineering to identify opportunities that improve yield, throughput, and cycle time. Own root cause investigation and resolution of complex automation equipment issues impacting production output. Mentor and provide technical guidance to mid-career automation engineers; review designs and system architectures. Evaluate and select automation equipment, vision hardware, robotics, and integration partners/vendors. Develop and maintain documentation, specifications, and validation protocols for automated systems in a regulated manufacturing environment. Support capital equipment justification and capacity planning for automation investments.

Must-Have:

  • BS Degree in science or engineering (Electrical, Mechanical, Physics, Materials Science, or related); MS Degree preferred.
  • 10+ years of experience designing and deploying industrial automation systems in a high-precision, high-volume manufacturing environment.
  • Direct experience automating advanced test and/or packaging processes for electro-optical, photonic, semiconductor, or similarly high precision products.
  • Hands-on experience integrating machine vision systems, including AI/deep learning-based inspection (e.g. defect classification, automated optical alignment)
  • Strong background in robotics, motion control, and precision mechanical system design and integration.
  • Demonstrated ability to lead automation projects from concept through qualification, integration, and production ramp.
  • Experience working directly with controls/PLC systems, machine vision software (e.g. Cognex, Keyence, or similar) and industrial communication protocols.
  • Proven track record mentoring and informally leading other engineers.
  • Familiarity with SQL and statistical processing software (e.g., JMP/JSL, Minitab) and SPC considerations.
  • Experience driving development projects with internal and external resources and suppliers.
  • Experience creating detailed reports, engineering documentation, and presentations, and leading design reviews.
  • Nice-To-Have:
  • Experience in optical transceiver, laser, or photonics manufacturing specifically.
  • Familiarity with statistical process control (SPC), DFM/DFA, and Six Sigma or Lean manufacturing methodologies.
  • Experience with custom vision model development or training (e.g. convolutional neural networks for defect detection)
  • Utility patents or demonstrated record of innovation in automation or precision manufacturing.
  • Experience supporting new product introduction (NPI) alongside automation development.
  • Must-Have: BS Degree in science or engineering (Electrical, Mechanical, Physics, Materials Science, or related); MS Degree preferred. 10+ years of experience designing and deploying industrial automation systems in a high-precision, high-volume manufacturing environment. Direct experience automating advanced test and/or packaging processes for electro-optical, photonic, semiconductor, or similarly high precision products. Hands-on experience integrating machine vision systems, including AI/deep learning-based inspection (e.g. defect classification, automated optical alignment) Strong background in robotics, motion control, and precision mechanical system design and integration. Demonstrated ability to lead automation projects from concept through qualification, integration, and production ramp. Experience working directly with controls/PLC systems, machine vision software (e.g. Cognex, Keyence, or similar) and industrial communication protocols. Proven track record mentoring and informally leading other engineers. Familiarity with SQL and statistical processing software (e.g., JMP/JSL, Minitab) and SPC considerations. Experience driving development projects with internal and external resources and suppliers. Experience creating detailed reports, engineering documentation, and presentations, and leading design reviews. Nice-To-Have: Experience in optical transceiver, laser, or photonics manufacturing specifically. Familiarity with statistical process control (SPC), DFM/DFA, and Six Sigma or Lean manufacturing methodologies. Experience with custom vision model development or training (e.g. convolutional neural networks for defect detection) Utility patents or demonstrated record of innovation in automation or precision manufacturing. Experience supporting new product introduction (NPI) alongside automation development.

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