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AI Agent Development Co-op

Nokia · San Jose, CA · 9月4日 · 昨天开放
评分
93
发布日期
9月4日 (昨天开放)
签证支持
支持 (该雇主近年 H-1B 批准 372 例)
内推
暂无
公司规模
10k+
行业
电信

岗位描述

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.
  • Proficiency in Python (preferred); additional programming or scripting languages welcome.
  • Coursework or project experience with LLMs, AI agents, prompt engineering, retrieval-augmented generation (RAG), or similar.
  • Comfort with Git and collaborative software development.
  • Ability to write clear technical documentation and explain a technical design to non-software engineers.
  • Interest in applying AI to a real engineering team, with a skeptical eye toward correctness - not only academic demos.

Nice to have

  • Experience with Cursor, VS Code agent/copilot workflows, Model Context Protocol (MCP), or similar IDE-native AI tooling.
  • Familiarity with Jira, Confluence, and Git/Bitbucket (or GitHub).
  • Basic understanding of fiber optical communication systems, Digital Signal Processing (DSP), or lab/test data analysis.
  • Demonstrated attention to detail and strong problem-solving capabilities.
  • Ability to work effectively both independently and as part of a collaborative team.
  • Excellent written and verbal communication skills.

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