Photonic Test Engineer
Nokia is hiring a Photonic Test Engineer. Level rates it ; you can apply on Nokia.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- Level lists 576 other open roles at Nokia.
AI in this role
As part of the team, you will be primarily responsible for developing wafer test infrastructure and conducting design verification testing on novel electro-optic devices. You possess a wide variety of skills in the lab and have a desire to learn.
- Design and conduct experiments to characterize photonic and electronic integrated circuits.
- Collaborate with design teams to apply test results toward design improvements.
- Develop and automate wafer/chip test stations for reliable data acquisition.
- Integrate commercial hardware platforms into automated test systems.
- Design and refine custom hardware using CAD tools and rapid prototyping, supporting transition to high-volume manufacturing.
You have or are:
- Master's or PhD degree in physics, electrical engineering, or a related field
- Proficient in Python, MATLAB, or C++ with experience developing and debugging complex test systems
- Skilled in analyzing measurement data to extract parameters and performance metrics
- Strong communication skills, with the ability to collaborate across teams and interface with vendors independently
It would be nice if you also had:
- Previous co-op or intern experience at Nokia.
- Fluency in Python and experience working with source control tools such as Git
- Hands-on experience with RF measurement instruments such as vector network analyzers
- Lab experience working with optical components and instruments
How we rate this
Photonic Test Engineer at Nokia rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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