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Staff Manufacturing Automation Engineer
Nokia
USA
Full-time
Senior
Onsite
Discovered 3 weeks ago
sql
About the Role
As a Staff Manufacturing Automation Engineer at Nokia in Allentown, PA, you will be a key member of the automation engineering team, leveraging your prior experience with process automation and machine vision systems. You will design, develop, and implement systems supporting advanced test and packaging of precision optical transceivers, while driving AI machine vision integration.
Key Skills for This Role
sql
Full Job Posting
Responsibilities
- Design, develop, and implement automation systems for advanced test and packaging cells for precision electro-optical (photonic) device manufacturing.
- Integrate AI-based machine vision systems for defect detection, precision alignment, in-line inspection, and statistical process control.
- Support manufacturing quality and capacity requirements and continuous improvement initiatives.
- Partner with product, test, and process engineering teams to identify opportunities that improve yield, throughput, and cycle time.
- Support root cause investigation and resolution of complex automation equipment issues impacting production output.
- Partner with vendors and integrators of vision hardware, robotics, and automation to develop designs and drive successful implementation.
- 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.
- Design, develop, and implement automation systems for advanced test and packaging cells for precision electro-optical (photonic) device manufacturing. Integrate AI-based machine vision systems for defect detection, precision alignment, in-line inspection, and statistical process control. Support manufacturing quality and capacity requirements and continuous improvement initiatives. Partner with product, test, and process engineering teams to identify opportunities that improve yield, throughput, and cycle time. Support root cause investigation and resolution of complex automation equipment issues impacting production output. Partner with vendors and integrators of vision hardware, robotics, and automation to develop designs and drive successful implementation. 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, or related); MS Degree preferred.
- 5 or more years of experience designing and deploying industrial automation systems in a high-precision, high-volume manufacturing environment.
- Hands-on experience integrating machine vision systems, including AI/deep learning-based inspection (e.g. defect classification, automated optical alignment.)
- Demonstrated experience in robotics, motion control, or precision mechanical system design and integration.
- Demonstrated ability to implement automation systems, 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.
- Familiarity with SQL and statistical processing software (e.g., JMP/JSL, Minitab) and SPC considerations.
- Hands-on, curious, collaborative problem-solving approach.
- Experience creating detailed reports, engineering documentation, presentations, and facilitating design reviews.
- Nice-To-Have:
- Direct experience automating advanced test and/or packaging processes for electro-optical, photonic, semiconductor, or similarly high precision products.
- Experience with custom vision model development or training (e.g. convolutional neural networks for defect detection)
- Demonstrated history of innovation in automation or precision manufacturing.
- Experience supporting new product introduction (NPI) and capacity ramp alongside automation development.
- Familiarity with statistical process control (SPC), DFM/DFA, and Six Sigma or Lean manufacturing methodologies.
- Must-Have: BS Degree in science or engineering (Electrical, Mechanical, Physics, or related); MS Degree preferred. 5 or more years of experience designing and deploying industrial automation systems in a high-precision, high-volume manufacturing environment. Hands-on experience integrating machine vision systems, including AI/deep learning-based inspection (e.g. defect classification, automated optical alignment.) Demonstrated experience in robotics, motion control, or precision mechanical system design and integration. Demonstrated ability to implement automation systems, 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. Familiarity with SQL and statistical processing software (e.g., JMP/JSL, Minitab) and SPC considerations. Hands-on, curious, collaborative problem-solving approach. Experience creating detailed reports, engineering documentation, presentations, and facilitating design reviews. Nice-To-Have: Direct experience automating advanced test and/or packaging processes for electro-optical, photonic, semiconductor, or similarly high precision products. Experience with custom vision model development or training (e.g. convolutional neural networks for defect detection) Demonstrated history of innovation in automation or precision manufacturing. Experience supporting new product introduction (NPI) and capacity ramp alongside automation development. Familiarity with statistical process control (SPC), DFM/DFA, and Six Sigma or Lean manufacturing methodologies.
About Nokia
Telecommunications10,001+Founded 1865
Nokia is a Finnish multinational technology company specializing in telecommunications infrastructure, software, and licensing. It provides network equipment and services for mobile, fixed, and cloud networks to communications service providers and enterprises worldwide.
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