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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 growth.
- Why this job: Make a real impact in innovative projects with a talented team.
- Qualifications: Degree in Engineering, Physics, or Maths; experience in computer vision preferred.
- Other info: Work onsite in Cambridge and engage in multidisciplinary collaboration.
The predicted salary is between 36000 - 60000 £ 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.
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
Familiarise yourself with the latest trends and technologies in computer vision. Attend relevant workshops, webinars, or conferences to network with industry professionals and gain insights that could set you apart during interviews.
✨Tip Number 2
Showcase your practical experience by working on personal projects or contributing to open-source initiatives related to computer vision. This hands-on experience can be a great conversation starter and demonstrate your passion for the field.
✨Tip Number 3
Connect with current employees at StudySmarter through LinkedIn or professional networks. Engaging with them can provide you with insider knowledge about the company culture and expectations, which can be invaluable during the interview process.
✨Tip Number 4
Prepare to discuss specific algorithms and techniques you've worked with, such as convolutional neural networks or tracking algorithms. Being able to articulate your experience and thought process will demonstrate your expertise and problem-solving skills.
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, optical engineering, and any specific projects that demonstrate your skills in detection and tracking. Use keywords from the job description to align your experience with what the company is looking for.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for computer vision engineering. Discuss specific projects or experiences that relate to the role, and explain how your background makes you a great fit for their multidisciplinary team.
Showcase Technical Skills: In your application, emphasise your technical skills, particularly in Python, algorithmic approaches like convolutional neural networks, and familiarity with tracking algorithms. Providing examples of how you've applied these skills in past projects can strengthen your application.
Highlight Collaboration Experience: Since the role involves working with a multidisciplinary team, mention any previous experiences where you collaborated with engineers, technicians, or product managers. This will demonstrate your ability to work effectively in a team environment, which is crucial for this position.
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 the role involves working 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 in the field.
