At a Glance
- Tasks: Verify software tools and develop automation solutions for medical robotics.
- Company: Join Machnet Medical Robotics, a pioneering company in medical technology.
- Benefits: Competitive salary, wellness perks, professional development, and a vibrant office culture.
- Other info: Dynamic startup environment with opportunities for growth and collaboration.
- Why this job: Make a real impact on healthcare by enhancing robotic technology.
- Qualifications: Experience in Python and software testing; curiosity about new tech is a plus.
The predicted salary is between 42750 - 52250 £ per year.
Machnet Medical Robotics (MMR), founded in 2020, is on a mission to revolutionise medical robotics. Our guiding principle is simple: innovation must improve patient outcomes, support clinicians without disrupting workflows, and empower healthcare staff rather than adding burden. MMR is a well-funded company with long-term investors and a strong financial foundation. Our hardware and software teams have developed a fully functional medical robotic platform that has successfully completed animal trials. As we move into the next phase, we are refining the mechanical design for production with a focus on safety, reliability, manufacturability, and scalability, preparing our technology for deployment in hospitals worldwide.
About the Role
We are seeking a Software Verification Engineer with experience in software testing and some Python experience to join our growing engineering team in central London. In this role, you will verify internal software tools, supporting software, third-party software libraries, and supporting engineering applications used throughout the development of our medical robotic platform. You will create and execute requirements-based verification activities, produce validation evidence, and develop small automation solutions where appropriate. You will work closely with software engineers and senior testers to ensure engineering tools and supporting software are validated before use within our regulated development environment. This role is well suited to someone who enjoys variety, is curious about new technologies, and wants to further develop their Python automation and technical testing skills.
Key Responsibilities
- Plan and execute verification activities for internal software tools, supporting software applications, and software libraries
- Develop requirements based verification test cases and execute manual verification activities
- Develop Python scripts, lightweight automation, and simple test harnesses where they improve verification efficiency
- Verify new versions of engineering tools, supporting software applications, and software libraries before their adoption within the development environment
- Support the verification of machine learning applications by creating and executing verification activities, developing targeted automation, and validating expected outputs
- Work closely with software engineers to understand the intended use of engineering tools and supporting software, translating requirements into verification test cases and validation activities
- Investigate issues identified during verification and support engineers in their resolution
- Produce validation reports and verification evidence to demonstrate engineering tools and supporting software are suitable for use within the development environment
Who We’re Looking For
- Experience using Python for test automation or scripting, with a desire to further develop your automation skills
- Comfortable working within Linux-based development environments
- Strong understanding of software testing principles with a methodical approach to verification and attention to detail
- Curious about new technologies and enjoys learning new tools and ways of working
- Able to work independently on smaller verification activities while collaborating with senior testers and software engineers on more complex projects
- Comfortable working in a fast-paced, collaborative startup environment
- Eligibility to work on-site at our central London office
Experience We Value
- Interest in machine learning and AI technologies, or experience supporting the verification of machine learning applications
- Ability to read and understand C++ code to support debugging and verification activities
- Exposure to testing in regulated or safety critical environments
- Familiarity with medical device software development standards such as IEC 62304 and ISO 13485
Why Join Us?
At MMR, you will work at the intersection of robotics, AI, and healthcare, building technology that directly impacts patient care and clinical outcomes. You will join a mission-driven, collaborative team where your technical expertise will meaningfully shape the future of medical robotics. We believe technology must serve people responsibly. Human-centred innovation, integrity, and long-term responsibility guide how we design products and how we support our team members’ growth and well-being.
What We Offer
- An international, interdisciplinary team based in Central London and Zwolle, Netherlands
- A collaborative and supportive workplace culture within a growing medical device and robotics startup
- A central London office with a well-equipped prototyping and development space
- Ongoing professional development through training, workshops, and conferences
- Competitive salary package including pension contribution
- Employee wellbeing benefits, including gym membership and cycle to work scheme
- Regular team socials, office events, and Friday treats
- An inclusive environment where people are encouraged to learn, contribute, and grow professionally
Software Verification Engineer employer: Machnet Medical Robotics
Machnet Medical Robotics is an exceptional employer, offering a dynamic and collaborative work environment in the heart of central London. As a key player in the MedTech industry, we provide our employees with opportunities for professional growth while working on groundbreaking robotic technology that enhances patient outcomes. Join us to be part of a passionate team dedicated to innovation and excellence in medical robotics.
StudySmarter Expert Advice🤫
We think this is how you could land Software Verification Engineer
✨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 Machnet Medical Robotics 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 Machnet Medical Robotics.
✨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 Machnet Medical Robotics.
✨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 Machnet Medical Robotics 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 Software Verification Engineer
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 Machnet Medical Robotics.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Machnet Medical Robotics 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 Machnet Medical Robotics
✨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 Machnet Medical Robotics 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.
