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
