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Nokia

Optoelectronics Test Mech Development Intern

Nokia is hiring an Optoelectronics Test Mech Development Intern. Level rates it ; you can apply on Nokia.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • Level classifies it as an internship.
  • Level lists 576 other open roles at Nokia.

AI in this role

Number of Position(s): 1  
Duration: 3 Months    
Date: June - August 2027  
Location: Onsite in Allentown, PA  

EDUCATIONAL RECOMMENDATIONS  
Currently a candidate for a Bachelor’s degree in Mechanical Engineering or a related field at an accredited school in the US. 
 

  • Participate in coherent optical subsystems test set development 

  • Learn Creol and participate in designing new hardware solutions 

  • Contribute to defining and configuring required test hardware 

  • Develop and support automated manufacturing test infrastructure 

  • Working with AI to increase productivity of the team 



 

  • Working as part of a team to develop and build complex mechanical systems 

  • Basic understanding of mechanics and materials 

  • Highly motivated and independent thinker 

  • Teachable, with a willingness and desire to ask questions and seek answers 

  • Foundation in AI tools and an understanding of their limitations

 

It would be nice if you also had: 

  • Strong analytical and problem-solving skills; capable of analyzing complex problems and developing effective solutions 

  • Experience with Azure DevOps 

  • Strong communication skills 


 

How we rate this

Optoelectronics Test Mech Development Intern at Nokia rates 17 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.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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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