Graduate embedded engineer
We are recruiting some talented and motivated individuals to fulfil the role of Embedded System Engineer within our Computer Vision team - come work with us and be the eyes of our advanced audio reproduction systems!
Audioscenic, a cutting-edge audio engineering start-up, has developed listener-adaptive 3D audio technology that utilises computer vision to track and deliver audio beams directly to the users’ ears in real time, creating an incredibly immersive spatial audio experience without the need for wearables or headphones. Check out this video for a demo: https://youtu.be/OYIY0a56Fw4.
We are seeking a skilled candidate to join our team and help us improve and further develop our computer vision system, with the goal of taking our head-tracking software to the next level and becoming a world leader in advanced 3D audio reproduction systems. This role includes developing systems for accurately tracking ears in various environments (desktop, home cinema, and automotive) and leading their implementation in embedded Linux platforms.
The successful candidates will play a pivotal role in our growing Computer Vision team, contributing to the implementation and optimization of previously developed algorithms in embedded platforms. Moreover, they will be involved in the deployment of new products, pushing the boundaries of audio engineering and ensuring that our novel consumer products lead the forefront of the industry.
Audioscenic's technology is aimed at creating novel consumer products that will lead the forefront of audio engineering for years to come, and you will have the opportunity to work with customers from all over the world.
As a young, VC-backed start-up, we offer a friendly and collaborative work environment, a wide range of tasks, training opportunities, career progression, and international travel. Lab-based work is required for the tuning and development of our systems, but we offer flexible work arrangements when convenient.
If you are a skilled computer vision engineer with a passion for cutting-edge technology and a desire to work with a dynamic and innovative team, then we want to hear from you. This is a unique opportunity to help shape the future of audio engineering and work with a company committed to pushing the boundaries of what is possible!
A Master or graduate in Computer Science, Electrical or Electronics engineering or equivalent experience are welcomed.
Applicants with a practical, implementation-oriented background in embedded Linux systems are encouraged to apply. The ideal candidate will have at least 2-3 years of work or academic experience in developing and implementing computer vision systems for product deployment.
Skillset and Interests
Proven programming skills in C++ and Python
Having a performance-based, deliverable-oriented mindset
Familiarity with CI/CD
Experience with Yocto build environment for embedded systems
Experience using of hardware accelerators in embedded and consumer grade systems
Experience with ARM-based solutions development and benchmarking is a big plus
Practical understanding of computer vision techniques and methods
Experience using object tracking libraries in real-world applications is a plus
Audio interests are a plus
To apply please email your CV to firstname.lastname@example.org