- - In-depth knowledge of visual odometry or visual SLAM algorithms for real-time applications - 5+ years of industry experience (or 3+ with a Ph.D. in a relevant field) - 3+ years of practical experience in developing classical computer vision systems - Experience in programming C++ within a commercial setting - An MSc or Ph.D. degree in computer science or a related field
Responsibilities:
- You will be responsible for extending our products further and making them perform in even more challenging conditions, you will work on topics such as real-time visual odometry, relocalization, multi-object tracking, object recognition, mapping, and geometric reconstruction.
The solutions you develop will run on hundreds of millions of mobile devices on which our real-time computer vision products are deployed today.
In more detail, you will:
- Develop real-time monocular visual odometry and SLAM algorithms that work robustly in challenging environments and will power the augmented reality and spatial data extraction capabilities of our SDK - Build, extend, and optimize pipelines for novel data capture solutions that combine traditional Computer Vision approaches and Machine Learning - Drive research and the technical execution of projects
Technologies:
- Computer Vision - Machine Learning - Python
More:
Scandit is a high-growth tech scaleup from Switzerland with offices in Zurich, Boston, Warsaw, London, Singapore, Tokyo, and Tampere. Our market-leading smart data capture technology enables businesses to use any standard mobile phone to extract data from barcodes, ID documents, text, and objects. To see our software in action, check out our videos.
(This is a fully remote role)
About the Role
We are looking for a Senior Computer Vision Engineer to join our passionate, highly collaborative team to help us evolve Scandit’s platform even further.
As part of our growing team, you will build and optimize classical Computer Vision algorithms and Deep Learning approaches to assemble innovative and immersive data capture solutions that revolutionize laborious tasks by increasing efficiency in order of multiple magnitudes and empower operators through advanced AR capabilities.
For more information about our latest product, you can check out MatrixScan Count or watch the video below.
What You Will Do
To extend our products further and make them perform in even more challenging conditions, you will work on topics such as real-time visual odometry, relocalization, multi-object tracking, object recognition, mapping, and geometric reconstruction.
The solutions you develop will run on hundreds of millions of mobile devices on which our real-time computer vision products are deployed today.
In more detail, you will:
Develop real-time monocular visual odometry and SLAM algorithms that work robustly in challenging environments and will power the augmented reality and spatial data extraction capabilities of our SDK Build, extend, and optimize pipelines for novel data capture solutions that combine traditional Computer Vision approaches and Machine Learning Drive research and the technical execution of projects
If these challenges sound interesting to you, send us your application!
Our Tech Stack
Computer Vision algorithms: C++17, CMake Machine Learning training and Tooling: Python, Pytorch Acceleration: SIMD, Vulkan, CoreML
Who You Are
A senior Computer Vision Engineer with a passion for algorithm development that goes beyond off-the-shelf packages like OpenCV. You have the ability to research, develop, test and deploy your solutions into a live environment. You believe in creating good quality, highly robust code. You are comfortable working autonomously but know when to ask for help and enjoy working in a collaborative environment where the success of the team matters most. You are willing to go beyond your role, your team, and (sometimes) your comfort zone to make a cross-functional impact on the business.
Ideally, you have:
An MSc or Ph.D. degree in computer science or a related field 5+ years of industry experience (or 3+ with a Ph.D. in a relevant field) 3+ years of practical experience in developing classical computer vision systems Solid programming experience in C++ and Python Solid knowledge of data structures, object-oriented programming, and software engineering principles In-depth knowledge of visual odometry or visual SLAM algorithms Applied experience with deep neural networks (a plus) Experience in managing the technical execution of projects
What We Offer
Here are just some of the reasons why people choose to build their careers at Scandit:
A highly skilled team and a fun environment where you can put your enthusiasm for cutting-edge technologies to use Excellent office infrastructure, optimized for hybrid working in Zurich, Warsaw, Tampere, and London. Excellent support for remote work across the UK, France, Italy, Spain, and Germany Innovation hackathons People-first culture Global team outings Festive/end of year all company celebrations Your birthday off An attractive individual equity plan in a high-growth company Do good and give back with 2 impact days where you are able to give time to one of our trusted nonprofit partners Specific benefits related to the location you are joining
Who We Are
Could your code give superpowers? Whether enabling delivery drivers to make quicker deliveries, matching a patient with their medication or allowing retailers to make store operations more efficient, our technology automates workflows and provides actionable insights to help businesses in a variety of industries. This means we have no shortage of technical challenges for engineers like you. Join us, as we continue to expand, grow and innovate, and help take Scandit to the next level.
Imagine the What. Build the How.
“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.
