AI-Agent Development Co-op

Nokia
San Jose, California, United StatesPosted Sep 4, 2026

About the role

Number of Position(s): 1 Duration: 6 - 12 months Dates: January 2027 - June 2027 - December 2027 Location: Onsite in San Jose, CA

Educational Requirements

Currently a candidate for a master's degree or PhD in computer science, software engineering, artificial intelligence / machine learning, computer engineering, electrical engineering, or a related field with an accredited school in the US.

What You Will Learn

This Co-Op position is an engineering-facing experience building AI agents for the optical test organization. You will gain practical knowledge in:

  • AI Agent Design: How to design, prompt, evaluate, and harden agent workflows

(skills, tools, and guardrails) that engineers actually use in daily ODVT work.

  • Tooling and Integrations: Connecting agents to engineering systems - issue

tracking, documentation, source control, and test data - so they fetch facts instead of inventing them.

  • Test Engineering Context: How Optical Design Verification Testing works: test

plans, test cases and lab data

  • Software Craft: Python development, version control, structured

documentation, tests, and iterating on tools from engineer feedback.

  • Fiber Communication Exposure: High-speed coherent optical products, DSP

concepts, and how test data is used to judge product performance and reliability.

RESPONSIBILITIES

  • Design, implement, and refine AI agents that help ODVT engineers write test

plans and test cases, analyze results, search documentation, and track work.

  • Build and maintain agent skills, prompts, and tool integrations (for example

MCP servers and Python helpers) used by the team.

  • Improve reliability: reduce invented values, add source traceability, tests,

and review gates so agent output is safe for lab and reporting use.

  • Partner with optical test engineers to identify high-value automation

opportunities and turn them into working agent workflows.

  • Document how to use the agents, collect feedback

Similar internships