Computer Vision Implementation Engineer
We are looking to add some talented and motivated individuals to fulfil the roles of Computer Vision engineers - come work with us and be the eyes of our advanced audio reproduction systems!
The Audioscenic listener-adaptive 3D audio technology uses computer vision to track and deliver audio beams directly to the users’ ears in real time. This allows a super immersive spatial audio experience without the need of wearables or headphones. An example of a system using our technology can be found here: https://youtu.be/OYIY0a56Fw4
We are looking for skilled computer vision engineers that can help us improve and further develop our computer-vision system. The aim is to take our head-tracking software to the next level and help us become a world leader in advanced 3D audio reproduction systems. This relates both to the development of algorithms for tracking ears accurately in a variety of environments (desktop, home cinema and automotive environments) and also implementation in embedded platforms.
The candidates should have experience maintaining code and documentation to high quality standards within a multidisciplinary team. The successful candidates will work with the wider vision team and work in the implementation and optimisation of already developed algorithms in embedded platforms.
The technology developed at Audioscenic is aimed at novel consumer products that will represent the forefront of audio engineering in the years to come. Working with us you will have the opportunity to work with customers all over the world.
Audioscenic is a young VC backed start up, offering the benefits of a friendly working environment and a wide range of day-to-day tasks with opportunities for training, career progression and international travel.
Lab-based work is required for the tuning and development of systems, but a flexible lab and home-work basis is possible when convenient.
Degree or PhD in Computer Science, electronic engineering, or equivalent experience.
Preferably 2 or 3 years in enterprise or research computer vision and head tracking engineering roles.
Skillset and Interests
Understanding of computer vision techniques and methods
Experience in developing computer vision software
Experience with OpenCV
Proven programming skills in C++ and Python
Practical experience of implementing and debugging computer vision systems for product deployment (C++)
Experience of computer vision in embedded linux applications
Experience in developing computer vision systems to meet performance targets
Desirable use of image accelerators on NXP i.MX8m family
Experience of additional computer vision frameworks is desirable
Experience of DNN optimisation is desirable
Experience developing user tracking or other object localisation vision systems is desirable
Experience with LIDAR / other user-tracking systems is desirable
Combining computer vision with other sensing technologies is desirable
Audio interests are a plus
Strong communication skills and friendly personality are a plus plus
To apply please email your CV to email@example.com