Computer Vision Engineer

Role: Computer Vision Engineer
Rate: £600 p/d - DOE (OUTSIDE IR35)
Location: Bristol HQ - Some time on site is essential
Duration: 12 months

A chance to join a company at the precipice of bleeding edge networking technology and innovation. Our client offers wireless networking solutions to support time-sensitive applications that require the control and management of a 'network of networks' combining different wireless technologies. As a Computer Vision Engineer, you will be instrumental in driving innovation and tackling complex challenges in our cutting-edge projects.

Experience Required:

• Experience in developing and implementing Computer Vision algorithms.
• Experience with most of the below packages:
  Agisoft Metashape, Instant-NGP, Neural Radiance Fields, Gaussian Splattings, Nerfstudio, Point cloud, photogrammetry, Reality Capture, Epic Games, Unreal Engine
• Awareness of C++ and Python interfaces.
• Expertise in geometric aspects of computer vision such as intrinsic/extrinsic calibration, triangulation, and multi-view geometry, applied in 3D scene reconstruction.
• Experience with CUDA development is a plus.
• Track record of effective contributions to complex software projects.
• In-depth knowledge and experience in Deep Learning and data-driven solutions.
• Prior experience in 3D transformations is beneficial.

Desirable Requirements

• Stereo and multi-camera systems
• Synchronisation systems, Precise Timing Protocals (PTPs)
• Wireless communication systems
• Wireless video streaming

Responsibilities:

• Actively participate in the development and expansion of the company's core computer vision products, focusing on technical contributions.
• Play a key role in transitioning projects from the prototype stage to production with a hands-on approach in software development.
• Contribute to the tech transfer of new research into products, engaging directly in the development and optimization of these technologies.
• Utilise your technical expertise to solve complex problems and implement effective solutions within project teams.