AI-Agent Development Co-op

Summary

Optical Design Verification Test Co-Op

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.

Your 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, and measure whether the tools save time or improve quality.

Your Skills and Experience

• 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.

More Information

Some of our benefits for students in the US:

• Flexible and hybrid working schemes to balance study, work, and life
• Professional development events and networking opportunities
• Well-being programs, including Personal Support Service 24/7 - a confidential support channel open to all Nokia employees and their families in challenging situations
• Opportunities to join Nokia Employee Resource Groups (NERGs) and build connections across the organization
• Employee Growth Solutions, mentorship programs, and coaching support for your career development
• A learning environment that fosters both personal growth and professional development – for your role and beyond

About Us

Advancing connectivity to secure a brighter world.

Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we're advancing connectivity to secure a brighter world.

Learn more about life at Nokia.

Our recruitment process

We act inclusively and respect the uniqueness of people. Our employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect.

If you're interested in this role but don't meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.

The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia.

Job Info

• Job Category Corporate Services
• Posting Date 09/04/2026
• Degree Level Master's degree
• Job Schedule Full time
• Job Type Fixed Term Student Trainee/Apprentice (3 months+)
• Role Type Individual contributor
• Salary Range $20.10 - $70.40 USD per hour
• Experience level Student or Intern or Trainee
• Locations 6373 San Ignacio Avenue, San Jose, California, 95119-1200, US (Onsite)
• Regular or Temporary Temporary

Job Description

Optical Design Verification Test Co-Op

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.

Your 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, and measure whether the tools save time or improve quality.

Your Skills and Experience

• 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.

More Information

Some of our benefits for students in the US:

• Flexible and hybrid working schemes to balance study, work, and life
• Professional development events and networking opportunities
• Well-being programs, including Personal Support Service 24/7 - a confidential support channel open to all Nokia employees and their families in challenging situations
• Opportunities to join Nokia Employee Resource Groups (NERGs) and build connections across the organization
• Employee Growth Solutions, mentorship programs, and coaching support for your career development
• A learning environment that fosters both personal growth and professional development – for your role and beyond

About Us

Advancing connectivity to secure a brighter world.

Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we're advancing connectivity to secure a brighter world.

Learn more about life at Nokia.

Our recruitment process

We act inclusively and respect the uniqueness of people. Our employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect.

If you're interested in this role but don't meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.

The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia.

Job Info

• Job Category Corporate Services
• Posting Date 09/04/2026
• Degree Level Master's degree
• Job Schedule Full time
• Job Type Fixed Term Student Trainee/Apprentice (3 months+)
• Role Type Individual contributor
• Salary Range $20.10 - $70.40 USD per hour
• Experience level Student or Intern or Trainee
• Locations 6373 San Ignacio Avenue, San Jose, California, 95119-1200, US (Onsite)
• Regular or Temporary Temporary