oracle
Optical Test Coop/Intern
Nokia
CAN
Full-time
Intern
Onsite
Discovered 2 weeks ago
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Key Skills for This Role
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Full Job Posting
Qualifications
- You Have:
- Hands on experience in general lab instruments
- Strong programming skills in Python, including writing clean, modular, and maintainable code.
- Strong analytical and problem-solving skills with the ability to identify root causes and develop effective solutions.
- Ability to work through complex technical challenges in a systematic manner.
- Strong communication skills and ability to collaborate effectively in a team environment.
- Demonstrated persistence, initiative, and ownership when working on technical projects.
- Really Nice to have:
- Experience with test automation frameworks such as PyTest or Robot Framework.
- Familiarity with CI/CD tools and automated testing environments.
- Experience using AI-assisted coding tools such as GitHub Copilot, Cursor AI, or ChatGPT.
- Exposure to hardware interfaces and instrument communication protocols such as Serial, GPIB, or SCPI.
- Familiarity with Git, Jira, Confluence, or similar development tools.
- Coursework or project experience in signal processing, communications, optical networking, or photonic systems.
- Experience with Python data analysis libraries including pandas, NumPy, and matplotlib.
- Basic understanding of optical networking technologies and transceiver validation processes.
Responsibilities
- As a part of our team, you will:
- Implement and execute ODVT & OIT (Optical Integration) activities
- Improve and extend Python-based test automation frameworks used for validating optical transceiver hardware and system-level performance.
- Apply AI tools (e.g., Cursor AI, GitHub Copilot, LLM-based agents) to accelerate automation development, code review, and test result analysis.
- Interface directly with optical test hardware — including instruments such as optical spectrum analyzers, tunable lasers, variable optical attenuators, and high-speed bit-error-rate testers.
- Develop and enhance workflow automation for test execution pipelines, data collection, and reporting.
- Investigate test failures and anomalies, performing root cause analysis on both software and hardware layers.
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