Computer Vision Engineer - Calibration

Reposted 16 Hours Ago
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Vienna
Hybrid
Mid level
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
We believe the camera presents the greatest opportunity to improve the way people live and communicate.
The Role
As a Computer Vision Engineer, you will develop calibration routines, optimize algorithms for AR glasses, and collaborate on robotics and mechanical designs.
Summary Generated by Built In

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.

The Spectacles team is pushing the boundaries of technology to bring people closer together in the real world. Our fifth-generation Spectacles, powered by Snap OS, showcase how standalone, see-through AR glasses make playing, learning, and working better together. 

We're looking for Computer Vision Engineers to join the Spectacles team in Vienna, Austria!

What you’ll do:

Working on Computer Vision and Computer Graphics technologies,  you will be collaborating closely with other Snap hardware and software teams around the world to: 

  • Develop, setup and test efficient sensor and display calibration routines for Spectacles

  • Work together with mechanical & electrical engineers to design Spectacle test & calibration stations.

  • Scale up and optimize computer vision based routines for high throughput calibration.

  • Utilize robots and actuators for calibration automation.

  • Working closely together with Graphics, Display and CV teams to develop next generation algorithms for see-through AR glasses.

Skills, Knowledge & Abilities:

  • Experience with C++ and Python

  • Solid foundation in Computer Vision such as camera models, multi-view geometry and transformations

  • Solid Math background with understanding of 3D geometry, trigonometry and linear algebra

  • Basic skills to work with mechanical and robotic installations

  • Attention to detail, strong desire for quality and good communication skills

  • Outstanding problem solving skills

Minimum Qualifications:

  • BSc/MSc with 2+ years of relevant experience from industry in a relevant engineering discipline (e.g. computer science, mechatronics, mathematics, robotics, ...) 

  • 2+ years of experience in software development with modern C++ or Python.

  • Solid knowledge of 3D geometry, trigonometry and linear algebra 

  • Solid knowledge of geometric computer vision 

Preferred Qualifications:

  • Experience with geometric camera and/or sensor calibration.

  • Experience with numerical optimization algorithms.

  • Experience with mechanical engineering 

  • Experience with robotics 

  • Experience with SLAM, point cloud processing or visual tracking systems

If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.

"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week. 

At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.

Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!

Top Skills

C++
Python

What the Team is Saying

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The Company
HQ: Santa Monica, CA
5,000 Employees
Year Founded: 2011

What We Do

Snap Inc. is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. We contribute to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.

Why Work With Us

Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.

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Snap Inc. Teams

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About our Teams

Snap Inc. Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Our “default together” approach is an 80/20 model where we are asking team members to spend 80% of the time, on average, in the office, with the remaining 20% of the time spent remote.

Typical time on-site: 4 days a week
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