Staff Manufacturing Automation Engineer

Posted Yesterday
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2 Locations
In-Office or Remote
Senior level
Software
The Role
Design and deploy automation systems for high-volume optical transceiver manufacturing, including AI-based machine vision, robotics, motion control, testing, packaging, and process integration. Lead automation from concept through qualification and production ramp, resolve equipment issues, improve yield and throughput, collaborate with vendors and engineering teams, and develop documentation, validation protocols, and capital equipment justifications.
Summary Generated by Built In

 As a Staff Manufacturing Automation Engineer at Nokia's Allentown facility, you will support efficient, high-quality, high-volume production of next-generation optical transceivers.  This is an experienced technical role for an engineer who has designed, deployed, and scaled automation for precision electronics manufacturing.  You will collaborate with a team of automation engineers to develop systems for advanced test and packaging processes, and have hands-on technical responsibility for machine vision, robotics, and process integration as we scale capacity and continuously improve.

You will partner with the Product and Process Engineering and Manufacturing Operations teams, all passionate about innovation in optical communication. Your work environment is supportive and collaborative, encouraging cross-functional teamwork to drive excellence in execution. You will thrive in a data-driven culture, employing your experience with process automation for advanced packaging and testing, AI-driven machine vision, robotics, and analytical skills to drive continuous improvement in productivity and yield. Benefits include a structured career progression pathway, exposure to cutting-edge technology like the Infinite Capacity Engine, and opportunities to leverage AI. Enjoy a collaborative atmosphere that values your insights and fosters professional growth in a leading-edge industry.
 
 

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.

Qualifications

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.

 

Skills Required

  • Bachelor’s degree in science or engineering, such as Electrical Engineering, Mechanical Engineering, Physics, or a related field
  • At least 5 years of experience designing and deploying industrial automation systems in high-precision, high-volume manufacturing
  • Hands-on experience integrating machine vision systems, including AI or deep-learning-based inspection
  • Experience with robotics, motion control, or precision mechanical system design and integration
  • Experience implementing automation systems from concept through qualification, integration, and production ramp
  • Experience with controls or PLC systems, machine vision software such as Cognex or Keyence, and industrial communication protocols
  • Familiarity with SQL and statistical processing software such as JMP/JSL or Minitab
  • Hands-on, curious, collaborative problem-solving approach
  • Experience creating engineering reports, documentation, presentations, and facilitating design reviews
  • Master’s degree
  • Experience automating advanced test or packaging processes for electro-optical, photonic, semiconductor, or similarly high-precision products
  • Experience developing or training custom computer vision models, such as convolutional neural networks for defect detection
  • History of innovation in automation or precision manufacturing
  • Experience supporting new product introduction and capacity ramp alongside automation development
  • Familiarity with statistical process control, DFM/DFA, Six Sigma, or Lean manufacturing methodologies

Nokia Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nokia and has not been reviewed or approved by Nokia.

  • Equity Value & Accessibility — Equity programs include a global employee share purchase plan with company matching and multi‑year share awards. These mechanisms broaden participation and tie rewards to long‑term outcomes.
  • Healthcare Strength — Health coverage includes major medical plans with supplementary options such as vision, legal services, and care navigation. The range of offerings indicates comprehensive support for medical needs.
  • Parental & Family Support — A global policy grants paid leave for new parents regardless of gender and provides structured return‑to‑work support. Company‑paid life insurance further strengthens family protection across regions.

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The Company
HQ: Espoo
132,624 Employees

What We Do

At Nokia, we create technology that helps the world act together. As a trusted partner for critical networks, we are committed to innovation and technology leadership across mobile, fixed and cloud networks. We create value with intellectual property and long-term research, led by the award-winning Nokia Bell Labs. Adhering to the highest standards of integrity and security, we help build the capabilities needed for a more productive, sustainable and inclusive world.

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