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Computer Vision Engineer
Posted 13 days 19 hours ago by Sanderson
Role: Computer Vision EngineerRate: £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.
