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For Companies At a Glance
- Tasks: Transform complex scientific concepts into robust software and optimise algorithms.
- Company: Join a leading firm at the intersection of science and technology.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborate with experts across disciplines in a dynamic and innovative environment.
- Why this job: Make a real impact in high-stakes environments with cutting-edge technology.
- Qualifications: 3-4 years of software engineering experience and a strong academic background.
The predicted salary is between 40000 - 50000 £ per year.
The Role
We are seeking an engineer who bridges the gap between science and software. You will be responsible for translating complex numerical models and scientific concepts into robust, professional-grade software. While you must have a strong technical and scientific understanding, your primary role is a software engineer who champions modern development practices, clean code, and reliable deployment pipelines. If you have 3 to 4 years of post-graduate experience and are passionate about building software that operates flawlessly in high-stakes security and nuclear environments, we want you on our team.
Responsibilities
- Algorithmic Development: Design, optimise, and implement complex numerical models and algorithms that process data from our radiation detectors and imaging devices.
- Professional-Grade Engineering: Write clean, maintainable, and highly reliable code. Transform prototype scientific scripts into production-ready software.
- Agile & DevOps: Champion modern software development approaches. Manage CI/CD pipelines, containerisation, and automated testing to ensure rigorous quality control.
- Cross-Functional Collaboration: Work alongside physicists, hardware engineers, and front-end developers to integrate algorithms into the broader system architecture.
What We Are Looking For
Required
- 3–4 years of post-graduate commercial or research-based software engineering experience.
- A strong academic foundation (degree in Computer Science, Physics, Applied Mathematics, or Engineering) combined with a genuine understanding of technical and scientific matters.
- Proven ability to produce professional-grade software. You don't just write scripts; you build scalable, tested, and well-architected systems.
- A solid grounding in Agile methodologies and DevOps practices (e.g., Git, Docker, CI/CD pipelines, automated testing).
Desirable
- Experience or background in imaging and computer vision.
- Familiarity with C++, Python, or similar languages heavily used in scientific computing.
Scientific Software Developer in Shanklin employer: Innovative Physics
Contact Detail:
Innovative Physics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Scientific Software Developer in Shanklin
✨Tip Number 1
Network like a pro! Reach out to professionals in the scientific software development field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving complex numerical models or algorithms. We want to see how you’ve turned scientific concepts into robust software.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of Agile methodologies. We recommend practicing common algorithm questions and discussing your past projects with confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about joining our team.
We think you need these skills to ace Scientific Software Developer in Shanklin
Some tips for your application 🫡
Show Your Passion for Science and Software: When you're writing your application, let us see your enthusiasm for bridging the gap between science and software. Share specific examples of how you've tackled complex numerical models or scientific concepts in your previous work. We love to see candidates who are genuinely excited about what they do!
Highlight Your Technical Skills: Make sure to showcase your technical prowess in your application. Mention your experience with languages like C++ or Python, and any tools or practices related to Agile and DevOps that you've used. We want to know how you’ve built scalable and reliable systems in the past!
Keep It Clean and Professional: Just like the code we write, your application should be clean and professional. Use clear language, avoid jargon, and make sure your formatting is consistent. A well-structured application reflects your attention to detail, which is crucial for a role like this!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and it helps us keep track of all applications. Plus, you’ll get to see more about our culture and what we’re all about at StudySmarter!
How to prepare for a job interview at Innovative Physics
✨Know Your Algorithms
Brush up on your knowledge of complex numerical models and algorithms. Be ready to discuss how you've designed, optimised, or implemented these in past projects. This will show your technical prowess and understanding of the role.
✨Showcase Your Code Quality
Prepare examples of your clean, maintainable code. If possible, bring along snippets or projects that demonstrate your ability to transform prototypes into production-ready software. This is crucial for proving you can deliver professional-grade engineering.
✨Familiarise with Agile & DevOps
Make sure you understand Agile methodologies and DevOps practices. Be prepared to discuss your experience with CI/CD pipelines, containerisation, and automated testing. This will highlight your commitment to modern development practices.
✨Collaboration is Key
Think about times you've worked with cross-functional teams, like physicists or hardware engineers. Be ready to share how you integrated algorithms into broader system architectures, as this shows your ability to collaborate effectively in a multidisciplinary environment.