Senior Software Engineer

Senior Software Engineer

Full-Time 85000 - 100000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Own and evolve software for cutting-edge microscopy, from hardware control to real-time analysis.
  • Company: Join Meridial, a pioneering research organisation focused on neuroscience and drug development.
  • Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
  • Other info: Dynamic environment with potential for technical leadership and career advancement.
  • Why this job: Make a real impact in neuroscience while working with innovative technology and a passionate team.
  • Qualifications: Strong software engineering skills, experience with Python, and a curiosity for science.

The predicted salary is between 85000 - 100000 £ per year.

About Meridial

Meridial is a Focused Research Organisation (FRO) with a mission to bring connectomics into the living brain. We are building a platform for longitudinal, synapse‑resolution mapping of functional neural circuitry in preclinical models. Our aim is to deploy this platform for translational projects and improve drug development outcomes for disorders of the Central Nervous System. Meridial is a new not‑for‑profit FRO in the Convergent Research Ecosystem, powered by the Advanced Research and Invention Agency (ARIA).

About the role

Meridial is seeking an entrepreneurial Software Engineer to take ownership of the software systems at the heart of our multi‑photon microscopy platform. This is a broad hands‑on role spanning hardware control, data acquisition, user interfaces, and analysis pipelines. You will work at the intersection of software and science, collaborating closely with FPGA engineers, experimental neuroscientists, and a growing data team. The near‑term priority is maintaining, debugging, and extending our existing MATLAB‑based microscope control software. Immediate goals include adding new experimental functionality, improving data handling, and developing real‑time analysis modules. You will need to learn the workings of a legacy system quickly, including by working with external contractors, and deploy solutions with an eye toward future fundamental improvements. Longer term, you will help define and drive the architectural evolution of the software stack, potentially including migration from MATLAB toward open‑source systems. As the company grows, there will also be opportunities to contribute to data architecture, offline scientific analysis pipelines, and web portals. This role will report to the Director of Engineering and work closely with experimentalists, with clear scope to grow into technical leadership of the software function.

Key Responsibilities

  • Own and evolve the microscope software stack, from low‑level hardware control to user interfaces and real‑time analysis layers
  • Maintain, debug, and extend the existing MATLAB codebase as the near‑term priority, keeping experimental workflows unblocked
  • Develop and maintain new interfaces for data acquisition, instrument control, and synchronisation across complex instrument subsystems
  • Collaborate with FPGA engineering to define and implement software control and acquisition architectures
  • Work across software and mechatronics boundaries — stages, robotic platforms, motion control, inverse kinematics, and collision avoidance
  • Build and evolve real‑time and offline image‑analysis pipelines supporting the full experimental workflow
  • Work with the team to translate scientific requirements into robust software systems
  • Contribute to longer‑term architectural evolution — modularising the stack, defining APIs, and evaluating migration pathways toward more scalable and maintainable systems

Required Qualifications

  • Strong background in software engineering for hardware‑integrated or instrumentation systems
  • Experience with Python for data analysis and pipeline development
  • Experience designing modular software architectures: layered systems, clean APIs, separation of concerns
  • Experience interfacing software with hardware: data acquisition, control systems, synchronisation
  • Ability to work across abstraction layers, from low‑level control to higher‑level application logic
  • Strong debugging and problem‑solving skills across software, hardware, and system‑level interactions

Preferred Qualifications

  • Degree in Computer Science, Software Engineering or related field
  • Genuine scientific curiosity — an interest in neuroscience, imaging, or the underlying biology is a real advantage
  • Experience with scientific instrumentation, microscopy, or imaging systems
  • Proficiency in systems‑level programming — Rust, C, or C++ — with a focus on performance, reliability, and maintainability
  • Exposure to large‑scale or longitudinal data processing (e.g. volumetric or time‑series datasets)
  • Experience refactoring or migrating software into modern architectures
  • Familiarity with motion control, robotics, or kinematic systems
  • Experience working with or alongside FPGA‑based systems

Physical Demands

  • Fine motor skills for operating computers and lab/instrumentation tools

Position Type / Schedule

  • Full‑time, 40 hours per week
  • Lab location based in London or Cambridge — ability to travel to both preferred
  • Work arrangement: Hybrid with expected regular onsite presence

Salary: 85,000 – 100,000 GBP per year.

We are an Equal Employment Opportunity employer and do not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender‑identity, sexual orientation, disability, age, military or veteran status, or any other characteristic protected by applicable law or company policy. We strive for a diverse, healthy and safe workplace and strictly prohibit harassment of any kind.

Senior Software Engineer employer: Convergent Research

At Meridial, we pride ourselves on being an exceptional employer dedicated to advancing neuroscience through innovative technology. Our collaborative work culture fosters creativity and scientific curiosity, providing employees with unique opportunities for professional growth and development in a supportive environment. Located in the vibrant research hubs of London and Cambridge, we offer a hybrid work arrangement that balances flexibility with regular onsite engagement, ensuring our team thrives both personally and professionally.

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Contact Details:

Convergent Research Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Software Engineer

Join Local Tech Meetups

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Contribute to Open Source Projects

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We think you need these skills to ace Senior Software Engineer

Software Engineering
MATLAB
Python
Data Acquisition
Modular Software Architectures
APIs
Debugging Skills

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 Convergent Research.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Convergent Research 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 Convergent Research

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 Convergent Research 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.