At a Glance
- Tasks: Design and implement cutting-edge perception technology for 3D vision and multi-camera systems.
- Company: Innovative tech startup focused on real-time 3D solutions for autonomous vehicles and robotics.
- Benefits: Competitive salary, equity options, hybrid working, and opportunities for research publication.
- Other info: Dynamic environment with opportunities for career growth and collaboration with industry leaders.
- Why this job: Join a pioneering team at the forefront of AI and robotics, making a real-world impact.
- Qualifications: PhD in Computer Vision, AI, Robotics, or related field with strong programming skills.
The predicted salary is between 110000 - 150000 £ per year.
We are seeking a Senior Computer Vision Engineer to work on novel perception technology at the intersection of research and deployment. You will work directly with the Founder and technical leaders to design and implement the core geometry and perception pipeline - spanning camera calibration, multi-view correspondence, and 3D scene understanding. The Senior 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.
Founded in 2024, the business focuses on real-time 3D for supporting autonomous vehicles (UGV, UAV, USV), robotics and other such systems for both defence and civilian use. The technology is a real-time, high-resolution passive 3D sensor, based on AI and multi-stereoscopy. They are building a fundamentally new approach to multi-stereo perception, combining geometric methods and learning-based techniques into a deployable real-world system.
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
Senior Computer Vision Engineer PhD in CV / AI / Robotics in Banbury employer: Richard Wheeler Associates
Contact Detail:
Richard Wheeler Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Computer Vision Engineer PhD in CV / AI / Robotics in Banbury
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with alumni from your university. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to computer vision and multi-camera systems. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and approach real-world problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate candidates who are eager to join our innovative team.
We think you need these skills to ace Senior Computer Vision Engineer PhD in CV / AI / Robotics in Banbury
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in computer vision, AI, and robotics. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or publications!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about perception technology and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Research: If you've got publications in top-tier venues like ICCV or CVPR, make sure to mention them! We love seeing candidates who are not just experienced but also actively contributing to the field.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Richard Wheeler Associates
✨Know Your Stuff
Make sure you brush up on your knowledge of multi-view geometry and camera calibration. Be ready to discuss your PhD research and how it relates to the role. They’ll want to see that you can translate complex theories into practical applications.
✨Showcase Your Projects
Prepare to talk about specific projects where you've implemented 3D vision or SLAM techniques. Highlight any real-world systems you've worked on, especially in robotics or autonomous vehicles. Concrete examples will help demonstrate your hands-on experience.
✨Research the Company
Dive into the company’s technology and recent developments. Understanding their approach to multi-stereo perception and how it fits into the broader landscape of AI and robotics will show your genuine interest and help you ask insightful questions.
✨Prepare for Technical Questions
Expect technical questions that test your programming skills in Python, Java, or C++. Brush up on algorithms related to multi-view correspondence and reconstruction. Practising coding problems beforehand can give you a confidence boost during the interview.