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 Computer Vision Team works to solve some of the most important challenges on Computer Vision and Augmented Reality. As a Computer Vision Engineer on this team, you’ll work on solving some of our industry’s toughest challenges and develop the next generation of wearable devices. We work on wearables and look to push the boundaries of what is possible. Working from our Vienna office, you will be collaborating closely with other Snap hardware and software teams around the world.

What you’ll do:

• Contribute to state-of-the-art tracking / SLAM algorithms
• Develop novel features for the next generation of AR products
• Design, implement, and integrate existing and new Computer Vision and Augmented Reality algorithms
• Research new techniques to improve speed, quality of existing algorithms for Computer Vision
• Work with our computer vision team to deliver next-generation detection (such as face, hand, body etc.) technology for augmented reality systems

Knowledge, Skills & Abilities:

• 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
• Ability to transform ideas into clean, fast and reliable code
• Attention to detail, strong desire for quality and good communication skills
• Outstanding problem solving skills

Minimum Qualifications

• BSc/MSc with 3+ years of relevant experience from industry in a relevant engineering discipline (e.g. computer science, mechatronics, mathematics, robotics, ...)
• Experience with SLAM or visual tracking systems
• Track record of successful projects showing computer vision skills
• 3+ years of programming experience in C++

Preferred Qualifications

• Masters, PhD, or industrial experience in a relevant engineering discipline
• Experience with non-linear optimization, Kalman filtering, State-estimation
• Experience in implementing high-performance computer vision algorithms

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!