Job
- Level
- Erfahren
- Job Feld
- Data, Embedded
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Wien
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In diesem Job entwickelst du robuste SLAM- und Tracking-Algorithmen, implementierst in C++ effiziente 3D-Rekonstruktion und Kamerakalibrierung, verbesserst nichtlineare Optimierung und Kalman-Filter und integrierst Echtzeit-AR-Erkennungen.
Job Technologien
Deine Rolle im Team
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.
Working from our Vienna office, you will be collaborating closely with other Snap hardware and software teams around the world.
- 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.
Unsere Erwartungen an dich
Qualifikationen
- 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.
- Track record of successful projects showing computer vision skills.
Erfahrung
- 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.
- 3+ years of programming experience in C++.
- 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.
Job Standorte
Themen mit denen du dich im Job beschäftigst
Das ist dein Arbeitgeber
Snapchat
Snap Inc. ist ein Unternehmen, bei dem sich alles um die Kamera dreht. Wir glauben, dass die Neuerfindung der Kamera eine große Chance für uns ist, das Leben und die Kommunikationsart der Menschen zu verbessern.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Internet, IT, Telekom
Dev Reviews
by devworkplaces.com
Gesamt
(1 Bewertung)Workingconditions
4.6Engineering
2.7Career Growth
3.4Culture
4.0
Computer Vision Engineer SLAM
- Ort
- Wien
- Arbeitsmodell
- Hybrid, Onsite
