Applied Scientist

Applied Scientist – Computer Vision

At OQC, we aren’t just theorising about the future; we’re building it. Born from a philosophy of bold innovation, we’ve successfully transitioned quantum computing from an academic dream into a commercial reality. The most exciting thing is that we’re just getting started and we’ve recently closed our £260 million Series C funding round – the largest fundraise ever completed by a quantum computing company in Europe.

The Purpose

As an Applied Scientist specialising in Computer Vision, you'll turn complex scientific imagery into quantitative insights that help us build better quantum processors. Combining classical image processing with deep learning, you'll develop end-to-end analysis capabilities that transform microscopy and metrology data into reliable measurements for process monitoring, scientific investigation and decision-making.

The Role

Working across our nanofabrication and materials teams, you’ll contribute to the development of computer vision and scientific image-analysis solutions, taking ownership of the development, validation and quality of the solutions you deliver. 

You'll tackle problems spanning microscopic defect detection, segmentation and critical-dimension measurement, working with imagery from technologies including optical microscopy, SEM and AFM. You'll collaborate closely with scientists and domain experts to understand the underlying measurement challenges, while partnering with Platform Engineering to take validated pipelines into production.

What You'll Be Working On

• Design, build and maintain computer vision and image-analysis pipelines that transform scientific imagery into reliable quantitative outputs.
• Develop and apply classical and deep-learning approaches for problems such as defect classification and detection, segmentation, alignment and quantitative measurement.
• Validate image-analysis methods using appropriate ground truth, performance metrics and error analysis, and understand where and why algorithms fail.
• Work with fabrication, materials and metrology specialists to translate scientific questions and measurement requirements into practical analysis solutions.
• Develop maintainable, reusable software within shared scientific codebases, including image-analysis tools, automated analysis pipelines and broader scientific software capabilities. 
• Work with fabrication, materials and metrology specialists to translate scientific questions and measurement requirements into practical analysis solutions. 

What We're Looking For

• Experience with classical computer vision and image processing, including segmentation, morphology, feature/edge detection, registration/alignment and image statistics.