Photonic Product Engineer – AI & Automation

Posted 2 Months Ago
2 Locations
In-Office or Remote
Senior level
Software
The Role
Lead execution of Product Engineering AI and automation initiatives across photonics products. Build and deploy reusable AI/automation tools, transform engineering data into AI-ready systems, and drive cross-functional adoption to improve development, qualification, manufacturing, and reliability processes.
Summary Generated by Built In

Product Engineering develops and establishes many of the processes used throughout product development, qualification, and manufacturing. As product complexity, engineering data, and production volumes continue to grow, these processes must evolve into connected, traceable, and AI-ready systems.

The Photonic Product Engineer for AI & Automation is responsible for executing Product Engineering's AI and automation initiatives and driving adoption across the organization. The role works closely with Development, Product Engineering, Test, Reliability, Quality, Operations, Manufacturing, and IT teams to establish common methods, reusable tools, and scalable practices that improve engineering effectiveness and support future growth.

Success in this role is measured not only by technical solutions delivered, but by the extent to which AI, automation, and data-driven methods become embedded within everyday engineering practice.


The position is based in Sunnyvale, Ca.
 

Responsibilities
  • Execute Product Engineering AI and automation initiatives across PIC, ASIC, TROSA, and Plug.
  • Drive adoption of AI, ML, automation, and data-driven engineering practices within Prod Eng and partner organizations.
  • Establish common methods, frameworks, and knowledge systems that enable scalable use of AI across the product lifecycle.
  • Transform engineering data, workflows, and traceability into AI-ready systems spanning development, qualification, manufacturing, reliability, and field performance.
  • Build, validate, and deploy reusable tools, agents, analytics, and automation solutions that improve engineering effectiveness.
  • Partner with Development, Test, Reliability, Quality, Manufacturing, Operations, and IT teams to align data, tools, and practices and deliver measurable business impact. 
Qualifications
  • PhD in Electrical Engineering, Computer Science, Data Science, Physics, Photonics, Applied Mathematics, or related field.
  • Experience applying AI, machine learning, analytics, software, or automation to engineering, product development, test, or manufacturing challenges.
  • Strong programming, data analysis, and tool development skills using Python or similar technologies.
  • Experience with AI technologies, engineering data systems, knowledge management, traceability, or decision-support tools.
  • Experience with optical transceiver products, photonics, DSP, semiconductor technologies, Product Engineering processes, or manufacturing and test systems is highly desirable.

Skills Required

  • PhD in Electrical Engineering, Computer Science, Data Science, Physics, Photonics, Applied Mathematics, or related field
  • Experience applying AI, machine learning, analytics, software, or automation to engineering, product development, test, or manufacturing challenges
  • Strong programming, data analysis, and tool development skills using Python or similar technologies
  • Experience with AI technologies, engineering data systems, knowledge management, traceability, or decision-support tools
  • Experience with optical transceiver products, photonics, DSP, semiconductor technologies, Product Engineering processes, or manufacturing and test systems

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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