Photonics AI & Automation Product Engineer

Nokia

Sunnyvale (CA)

On-site

USD 140,000 - 210,000

Full time

14 days+

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Job summary

Nokia in Sunnyvale, California seeks a Photonic Product Engineer for AI & Automation to drive AI initiatives across PIC, ASIC, TROSA, and Plug, collaborating with Development, Test, Reliability, Quality, Manufacturing, and IT to build reusable tools and data-driven processes.

You will transform engineering data and workflows into AI-ready systems, delivering measurable business impact and embedding AI and automation into everyday engineering practice.

Qualifications

  • PhD in engineering or related field required.
  • Experience applying AI, analytics, or automation to engineering challenges.
  • Strong programming and data analysis skills (Python or similar).
  • Experience with AI technologies and data systems for engineering workflows.
  • Desirable familiarity with optical transceivers, photonics, DSP, or semiconductor tech.

Responsibilities

  • Execute AI and automation initiatives across product engineering domains.
  • Drive adoption of AI, ML, automation, and data-driven practices.
  • Establish reusable methods, tools, and knowledge systems for AI across lifecycle.
  • Transform data, workflows, and traceability into AI-ready systems.
  • Build, validate, and deploy tools, agents, and analytics for engineering impact.
  • Collaborate with Development, Test, Reliability, Quality, Manufacturing, Operations, and IT.

Skills

PhD in engineering
AI & automation in engineering
Python programming
Data analysis & tool development
Photonic DSP/semiconductor tech

Education

PhD in Electrical Engineering/CS/Data Science

Tools

Python
DSP tools
Photonic engineering software

Job description

Nokia in Sunnyvale, California seeks a Photonic Product Engineer for AI & Automation to drive AI initiatives across PIC, ASIC, TROSA, and Plug, collaborating with Development, Test, Reliability, Quality, Manufacturing, and IT to build reusable tools and data-driven processes.

You will transform engineering data and workflows into AI-ready systems, delivering measurable business impact and embedding AI and automation into everyday engineering practice.

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