C++ Image Processing Engineer for Microscopy

C++ Image Processing Engineer for Microscopy

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
ONI

At a Glance

  • Tasks: Create cutting-edge software for super-resolution microscopy and image analysis.
  • Company: Join ONI, a forward-thinking company in Oxford with an inclusive culture.
  • Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
  • Other info: Ideal for those passionate about tech and eager to learn in a dynamic environment.
  • Why this job: Make a real difference in research with innovative technology and collaborative teams.
  • Qualifications: 3+ years in image processing, strong C++ skills, Agile/SCRUM experience required.

The predicted salary is between 60000 - 80000 £ per year.

ONI in Oxford is seeking a Software Engineer to build software for automating super-resolution microscopy and image analysis for researchers.

You will develop high‑performance C++ applications and innovative image processing solutions, collaborating with hardware, firmware, and software teams.

Required 3+ years in image processing, strong C++ skills, and Agile/SCRUM experience.

Desired Python skills and exposure to ML pipelines are a plus, with a values-driven, inclusive culture and

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C++ Image Processing Engineer for Microscopy employer: ONI

At ONI, we are committed to fostering a culture of innovation and collaboration, making us an exceptional employer for those passionate about advancing scientific exploration. Located in the vibrant city of Oxford, our team enjoys unique benefits such as on-site gym facilities, nursery services, and complimentary meals, all while working on cutting-edge projects that empower scientists worldwide. We prioritise employee growth through continuous learning opportunities and a supportive environment that encourages curiosity and excellence.

ONI

Contact Details:

ONI Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land C++ Image Processing Engineer for Microscopy

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at ONI or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to ONI.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like ONI.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like ONI that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace C++ Image Processing Engineer for Microscopy

C++
Image Processing
Agile
SCRUM
Python
Machine Learning Pipelines
High-Performance Application Development

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at ONI.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at ONI and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at ONI

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If ONI uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.