Computer Vision Engineer, PhD
New Yesterday
PhD in CV / AI / Robotics 3D Vision & Multi-Camera Systems Oxford - hybrid working c£110-150k DoE + Equity Were seeking a Senior Computer Vision Engineer to work on novel perception technology at the intersection of research and deployment. Founded in 2024 with a recently closed multi £million seed funding round, the business has a high-growth strategy that looks towards a series A in 18 months. Their technology is a real-time, high-resolution passive 3D sensor based on AI and multi-stereoscopy. For both defence and civilian use, the technology focuses on real-time 3D for supporting autonomous vehicles (UGV, UAV, USV), robotics and other such systems. Theyre building a fundamentally new approach to multi-stereo perception, combining geometric methods and learning-based techniques into a deployable real-world system. You will work directly with the CTO and AI Lead to design and implement the core geometry and perception pipeline - spanning camera calibration, multi-view correspondence, and 3D scene understanding. The Senior Computer Vision Engineer role is deeply hands-on but also offers the opportunity to contribute to state-of-the-art applied research, with scope for publication at leading venues such as ICCV, CVPR, or NeurIPS, where appropriate. Responsibilities :
Geometry & Multi-View Vision Develop and optimise multi-camera calibration and alignment pipelines Design algorithms for multi-view correspondence and reconstruction Improve system-level accuracy and robustness across configurations Applied Research & Innovation Explore and implement novel approaches at the intersection of geometry and learning Contribute to advancing state-of-the-art perception techniques Collaborate on research outputs suitable for top-tier conferences (ICCV, CVPR, NeurIPS) where appropriate System Integration Work closely with ML and systems engineers to integrate perception into deployable systems Analyse real-world performance and iterate on failure modes Ensure algorithms perform robustly outside controlled environments Engineering Execution Translate research ideas into production-quality code Maintain high standards of code quality, testing, and reproducibility Requirements:
PhD in Computer Vision, AI, Robotics, Machine Learning, or closely related field Strong expertise in multi-view geometry and camera calibration Strong experience in 3D vision / reconstruction/ SLAM Strong programming skills (Python, Java, C, CUDA and/or C++) Demonstrated ability to translate theory into working systems Citizenship of a NATO country (required due to project constraints) Highly Desirable: Publications in top-tier venues (ICCV, CVPR, ECCV, NeurIPS, etc.) Experience with real-world perception systems (robotics, UAVs, automotive, defence) Experience combining geometric and learned approaches We encourage applications from researchers transitioning from academia; alternatively, you may already have significant industry experience.
TPBN1_UKTJ
- Location:
- United Kingdom
- Job Type:
- FullTime
- Category:
- IT