Requirements
Candidates must be pursuing a master's degree or PhD in computer science, software engineering, AI/ML, computer engineering, electrical engineering, or a related field from an accredited US school. Proficiency in Python is preferred, along with coursework or project experience in LLMs, AI agents, prompt engineering, or RAG. Comfort with Git and collaborative software development, alongside the ability to write clear technical documentation, is required. Experience with IDE-native AI tooling, Jira, Confluence, Git/Bitbucket, fiber optical communication systems, DSP, or lab/test data analysis are considered advantageous.
Description
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.