Scandit is a high-growth tech scale-up from Switzerland with offices in Zurich, Boston, Warsaw, London and Tampere. Our technology for recognizing any barcode with any standard mobile phone is leading in the market today. To see our software in action, check out our videos. We are now looking for a new colleague to join our passionate team of computer vision engineers and help us make the next steps. Together with the other team members, you will be responsible for further improving our scanning performance and making it work in even more challenging conditions by applying and optimizing computer vision and deep learning algorithms. Additionally, you will work with other engineers on topics such as object recognition , geometric models, 3D reconstruction and visual tracking in order to further extend the capabilities to our product. If these challenges sound interesting to you, send us your application.

 What You Will Do Solve challenging geometric mapping and product recognition problems for our retail shelf monitoring solution Optimize the usability of shelf monitoring tasks by porting algorithms from the cloud to real-time on-device execution Further improve the performance of our leading barcode recognition algorithms (e.g. on reflecting or deformed surfaces) Build out the augmented reality capabilities of our product by developing specialized AR/SLAM implementations that go beyond what is possible with ARKit and ARCore Build automated QA systems to guarantee robustness, speed and consistency Who You Are MSc or PhD degree in computer science or a related field Multiple years of practical experience in computer vision, image processing or machine learning Experience in C++ or Python (or a similar language) Solid knowledge of data structures, object-oriented programming and software engineering principles In depth knowledge of 3d reconstruction or SLAM algorithms is a plus Experience in GPU programming with OpenGL (ES), Metal or Vulcan is a plus Thorough and with attention to detail What We Offer A highly skilled team and a fun environment where you can put your enthusiasm for cutting-edge technologies to use Flexible working hours and the opportunity to travel A highly skilled and helpful team of international researchers, scientists and engineers to work with Hackathons, Christmas fondue parties, company outings and other regular events

 Who We Are Scandit enables enterprises and consumers to change the way they interact with everyday objects and augment the physical world with real-time data captured by scanning barcodes and recognizing text, objects, and other visual identifiers using smartphones, tablets, wearables, drones and robots. Scandit’s mobile data capture platform is built on proprietary computer vision, augmented reality, and machine learning technologies. Companies in industries such as retail, transportation & logistics, manufacturing, and healthcare can use Scandit’s technology to create and power mobile apps for crucial enterprise workflows like mobile point of sale, mobile shopping, self-checkout, inventory management, and proof of delivery. Many of the world’s most innovative and successful companies are benefiting from Scandit’s enterprise-grade mobile data capture platform, including Sephora, Nissan, DHL, and Levi Strauss & Co. Scandit was founded by a group of researchers from ETH Zurich and MIT. The company is headquartered in Zurich and is also represented in Boston, London, Warsaw, Tokyo and Tampere. Over the years, our company has evolved into a world-class team of mobile image processing, cloud-computing and “Internet of Things” experts from around the globe and has most recently also opened an office in Tampere, Finland. “Everybody is welcome here” - Is a celebrated component of our DNA. At Scandit we strive to create an inclusive environment that empowers our employees.

 We believe that our products and services benefit from our diverse backgrounds and experiences and are proud to be a safe space for all. All qualified applications will receive consideration for employment without regard to race, colour, nationality, religion, sexual orientation, gender, gender identity, age, physical [dis]ability or length of time spent unemployed.