As a Full-Stack (Web) Engineer at Arbrea Labs, you will be working at the interface between Frontend, Backend, Databases and Arbrea’s Mobile apps. As one of the key employees, you will have a strong influence on how the patient and surgeon relationship is shaped, giving you, altogether with the team, the opportunity to grow into world leaders in Medical AR/VR technology. You will work with friendly, passionate, and easy-going team members, be very willing to offer guidance, and have a beer (or two) after work or regular team events. The working environment is quite flexible, with offices in a Technology hub, attractive salaries and we offer employee participation plans.
With the exponentially growing number of frameworks and languages in software engineering we do not expect you to be an expert in all technologies used at Arbrea but we do expect you to be a fast learner and an engineer with a critical and open mindset. Being a part of a rapidly moving industry, we are looking for engineers who are not afraid to build fast, fail fast and learn from their mistakes. If you decide to join us you might be working on projects with some technologies and languages such as: Angular, React, React Native, Node, NodeJS/ExpressJS TypeScript, GoLang, Python, Java 8, Spring, HTML, CSS, Git, GitHub, MongoDB, PostgreSQL, Docker, Jenkins. As a full-stack developer, we expect you to think about problem solutions before writing code. Our working language is English and we expect all candidates to be fluent in English.
Arbrea Labs is an ETH spin-off from the Computer Graphics Lab, ETH Zurich. We are a team of specialists in computer graphics, vision and artificial intelligence developing state-of-the-art solutions for cosmetic surgery. Our daily tasks range from 3D reconstruction and Tracking to AR/VR, focusing on the latest works in Deep Learning, Geometry Processing and Rendering applied to human bodies as we strive to develop cutting edge technology that improves our users` experience and satisfaction. We are looking to expand our team with key people who have experience in deep learning and have a strong will to learn and get involved in a start-up environment. We are interested in full-time candidates but also consider internship positions with the possibility to transition fully into our team.
Location: Technoparkstrasse 1, 8005 Zurich