At a Glance
- Tasks: Develop cutting-edge perception technology for autonomous vehicles and robotics.
- Company: Innovative startup focused on real-time 3D sensor technology.
- Benefits: Competitive salary, equity options, and hybrid working model.
- Other info: Exciting opportunity for career growth and collaboration with industry leaders.
- Why this job: Join a pioneering team and contribute to state-of-the-art research in computer vision.
- Qualifications: PhD in Computer Vision, AI, or Robotics 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
- 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)
- 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 employer: Richard Wheeler Associates
As a Senior Computer Vision Engineer at our innovative company in Oxford, you will be part of a dynamic team dedicated to pioneering real-time 3D perception technology for autonomous systems. We offer a hybrid working environment, competitive salary, and equity options, alongside a culture that fosters collaboration and encourages research publication at prestigious conferences. Join us to not only advance your career but also contribute to cutting-edge projects that have a meaningful impact on both defence and civilian applications.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Computer Vision Engineer PhD in CV / AI / Robotics
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to computer vision and AI. This gives potential employers a taste of what you can do and sets 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. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Computer Vision Engineer PhD in CV / AI / Robotics
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight 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! Use it to explain why you’re passionate about the role and how your background makes you a perfect fit. We love seeing enthusiasm and a clear understanding of our mission.
Showcase Your Research:If you have publications or research that relate to multi-view geometry or perception technology, make sure to mention them. We’re keen on candidates who can contribute to state-of-the-art applied research, so let us know what you’ve done!
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 – just follow the prompts!
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 previous projects in detail, especially those that involved 3D vision or SLAM. This role is all about hands-on experience, so be prepared to showcase how you've translated theory into practical applications.
✨Showcase Your Research
If you've got publications in top-tier venues like ICCV or CVPR, flaunt them! Discuss the innovative approaches you've explored and how they can apply to the company's goals. They’re looking for someone who can contribute to state-of-the-art research, so make sure to highlight your academic achievements.
✨Collaborate Like a Pro
This role involves working closely with ML and systems engineers, so demonstrate your teamwork skills. Prepare examples of how you've successfully collaborated on projects in the past, especially in integrating perception into deployable systems. Show that you can communicate complex ideas clearly and work well in a team.
✨Prepare for Technical Questions
Expect some deep technical questions during the interview. Brush up on your programming skills in Python, Java, C, and CUDA. You might be asked to solve problems on the spot, so practice coding challenges related to computer vision and multi-camera systems. Confidence in your technical abilities will go a long way!
