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Skydio

engineering opportunity

Camera & Imaging Intern

Camera & Imaging Intern role at Skydio in Tampere, Finland. Focus areas include Machine Learning, Machine Learning, Machine Learning. As part of our imaging team in Tampere, you will help test and characterize the camera modules going into our current and next-generation products, design the lab setups that make that testing possible, and — depending on your interests — get involved in image...

Tampere, FinlandFull-time

Posted

About the role

What will you do at Skydio?

Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders, soldiers in battlefield scenarios, and beyond.About

The Role

Skydio designs and manufactures fully autonomous drones that use state of the art hardware paired with advanced computer vision and machine learning to ensure our users always have access to the visual information they need.

As part of our imaging team in Tampere, you will help test and characterize the camera modules going into our current and next-generation products, design the lab setups that make that testing possible, and — depending on your interests — get involved in image quality analysis, ISP tuning, or our Qualcomm-based camera software stack.This is a part-time position alongside your studies, with flexible hours.About

The Team

We design camera systems that support autonomous navigation, professional media capture, and industrial inspection and situational awareness.

From early-stage user needs analysis to mass production, we manage the entire lifecycle: requirements definition, hardware bring-up, tuning, and validation.How You’ll Make An Impact:Design and build new lab setups and fixtures for camera and image quality testing, including the software that drives themTest and calibrate new camera modules against our requirementsAnalyze measurement data and turn it into clear visualizations and reports that steer concrete design decisionsDepending on your interests and background: contribute to image quality analysis, ISP tuning, optics simulations, or development on our Qualcomm-based camera software stack What Makes You A Good Fit:You are studying toward a degree in a field such as electrical engineering, optics, photonics, computer vision, or computer science — with a solid foundation in one of these areasGenuine enthusiasm for hands-on work in the lab with real hardwarePython or a comparable language for automating measurements, data analysis and visualizationClear written and verbal communicationWorking proficiency in EnglishNice To Have:Hands-on experience with lab instruments or building your own measurement setupsInterest in cameras and photographyFamiliarity with image quality metrics — resolution, noise, color — and how they are measuredExperience with optical design or simulation softwareExposure to embedded Linux or Qualcomm ISP#LI-ZD1 At Skydio we believe that diversity drives innovation.

We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems.

We are committed to growing our network of people, programs, and resources to nurture an inclusive culture.Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws.For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility.

To learn more about E-Verify, including your rights and responsibilities, please visit https://www.e-verify.gov/

Which skills does this role require?

Machine Learning

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