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- Tasks: Design and develop cutting-edge computer vision systems for monitoring and tracking.
- Company: Join a forward-thinking company at the forefront of optics and engineering.
- Benefits: Collaborative environment, exciting projects, and opportunities for real-world impact.
- Why this job: Be part of a dynamic team pushing the boundaries of technology in various industries.
- Qualifications: Degree in Engineering, Physics, Maths or equivalent; experience in computer vision systems required.
- Other info: Work onsite in Cambridge with a talented, multidisciplinary team.
The predicted salary is between 28800 - 48000 £ per year.
Are you a highly skilled Computer Vision Engineer with a passion for cutting-edge technology? Join a dynamic and multidisciplinary team to design and develop state-of-the-art systems for monitoring and tracking, leveraging computer vision techniques. As a Computer Vision Engineer, you will play a key role in shaping the future of innovative devices across a variety of industries.
Role Overview:
In this role, you will collaborate with a talented team of engineers and technicians to apply your expertise in computer vision systems, contributing to building systems that include electro-optic sensors, lenses, mirrors, and mounts. These systems will be used in applications requiring high-performance vision capabilities, from visual to near infrared (NIR) and far infrared (FIR). You will be involved in the full product lifecycle, from initial design and prototyping through to testing, validation, and product launch.
Key Responsibilities:
- Contribute to the design, test, and validation of optical systems, including sensors, assemblies, and optical components.
- Work on the development of systems for monitoring, tracking, and computer vision applications.
- Customize the image processing pipeline to optimize performance.
- Collaborate with a multidisciplinary team, including engineers, technicians, and product managers.
- Develop bespoke algorithms building on state-of-the-art computer vision research.
- Develop machine vision systems to meet demanding technical and reliability requirements.
- Organize and manage your work effectively, ensuring timely delivery of high-quality results.
- Participate in prototype development, testing, and market-ready product releases.
Qualifications:
- Degree in Engineering, Physics, Maths or related area, or equivalent experience in a related field (Master’s or PhD preferred).
- Experience in designing and developing computer vision systems, particularly in the areas of detection and tracking.
- Good familiarity with algorithmic approaches such as convolutional neural networks and transformers.
- Familiarity with tracking algorithms such as the Kalman filter.
- Understanding of (perhaps older) less computationally intense techniques such as blob detection.
- Comfortable working in python.
- Comfortable working onsite with a team in and around the Cambridge area.
Desirable Skills:
- Knowledge of video analysis techniques.
- Knowledge of optics.
- Knowledge and experience working outside the visible spectrum.
- Familiarity with multidisciplinary project collaboration and agile development environments.
Why Join Us?
This is a fantastic opportunity to make a significant impact within a forward-thinking, collaborative team. You’ll be involved in exciting projects that push the boundaries of optical system design, while also being part of a growing company with a diverse and talented group of engineers. You’ll have the chance to work on challenging, high-performance systems with real-world applications across a range of industries.
To Apply:
If you’re passionate about computer vision engineering and ready to contribute to innovative solutions, we want to hear from you.
Locations
Computer Vision Engineer employer: Quell
Contact Detail:
Quell Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computer Vision Engineer
✨Tip Number 1
Network with professionals in the optics and computer vision fields. Attend industry conferences, workshops, or meetups to connect with potential colleagues and learn about the latest trends and technologies. This can help you gain insights into what companies like us are looking for in candidates.
✨Tip Number 2
Showcase your practical experience by working on personal or open-source projects related to computer vision. This not only demonstrates your skills but also your passion for the field. Make sure to highlight these projects during interviews to illustrate your hands-on expertise.
✨Tip Number 3
Familiarise yourself with the specific technologies and tools we use at StudySmarter. Research our current projects and understand how your skills can contribute to them. Tailoring your discussions around our work can make a strong impression during interviews.
✨Tip Number 4
Prepare to discuss your problem-solving approach in detail. We value engineers who can think critically and adapt their methods to overcome challenges. Be ready to share examples of how you've tackled complex issues in past projects, especially those involving computer vision systems.
We think you need these skills to ace Computer Vision Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in computer vision systems, particularly in detection and tracking. Include specific projects or technologies you've worked with that align with the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for cutting-edge technology and your understanding of the role. Mention how your skills in algorithmic approaches and familiarity with optical systems make you a great fit for the team.
Showcase Relevant Projects: If you have worked on any projects involving machine vision systems or optical components, be sure to include these in your application. Highlight your contributions and the outcomes of these projects.
Highlight Team Collaboration Skills: Since the role involves working with a multidisciplinary team, emphasise your experience in collaborative environments. Mention any agile development experiences and how you effectively manage your work to meet deadlines.
How to prepare for a job interview at Quell
✨Showcase Your Technical Skills
Be prepared to discuss your experience with computer vision systems in detail. Highlight specific projects where you've designed or developed algorithms, especially those involving convolutional neural networks or tracking algorithms like the Kalman filter.
✨Demonstrate Team Collaboration
Since this role involves working closely with a multidisciplinary team, share examples of how you've successfully collaborated with engineers, technicians, and product managers in past projects. Emphasise your ability to communicate complex ideas clearly.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Practice explaining your thought process when tackling problems related to optical systems or image processing pipelines. This will showcase your analytical skills and approach to real-world issues.
✨Express Your Passion for Innovation
Convey your enthusiasm for cutting-edge technology and how it drives you as an engineer. Discuss any recent advancements in computer vision that excite you and how you envision contributing to innovative solutions within the company.
