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
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