Senior Test Engineer - Devices.

Medtronic
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior DataOps Engineer

Senior Computer Vision Engineer - up to £70,000 - ID44602

Senior MLOps Engineer

Machine Learning Engineer

Senior/Lead Data Scientist

Senior Data Scientist - NLP AI Research

Careers that Change Lives 

Medtronic - Digital Technologies is creating ambitious new products that bring connectivity, real-time guidance, and decision support to the operating room. To support this mission, we are developing compact, high-performance, embedded systems that enable edge computing and connectivity. Working closely with other teams across Medtronic, we are creating a connected ecosystem and leveraging the state of the art in computer vision to provide the most comprehensive view of surgery. If you’re interested in using cutting-edge technology to improve the standard of care in surgery on a global scale, this could be the place for you.

As a Senior Test Engineer, you will play a crucial role in ensuring the reliability and performance of our medical devices and software. If you're passionate about leveraging technology to enhance patient care globally, we invite you to be part of our mission. 

A Day in the Life 
• Collaborate with cross-functional teams to develop and implement test strategies aligned with regulatory standards for medical devices
• Execute test cases, scripts, and data for various types of testing, including functional, performance, usability, security, and reliability
• Work closely with Product Owner and Developers to define acceptance criteria and definition of done for both stories and releases
• Identify, report, and track defects, working closely with developers and stakeholders to resolve issues
• Design and implement automated tests and frameworks for regression testing and continuous integration
• Prepare and maintain test reports, metrics, and documentation for presentation to management and other stakeholders
• Keep up to date with medical device testing standards, tools, frameworks, and best practices 

Must Haves 
• BS/MS in Computer, Electrical, Electronics Engineering or equivalent
• Minimum 5 years of experience in software testing, preferably in the medical device industry. (or other safety-critical industries)
• Familiarity with medical device regulations and standards such as ISO 13485, IEC 62304, and 21 CFR 820
• Proficiency in testing tools and frameworks such as Selenium, TestNG, Cucumber, TestArchitect, etc. 
• Certification in software testing, such as ISTQB
• Willingness to be on-site (minimum 3 days/week in London office) 

Nice to Haves
• Experience working with deployed hardware systems and remote device management 
• Experience with virtualisation 
• Knowledge of video encoding/codecs and related tooling (ffmpeg) 
• Experience with Amazone Web Services (AWS)

We Offer
We offer a competitive salary and benefits package to all our employees:
• Flexible working environment
• Annual Incentive Plan % depending on company results
• Pension scheme and group discount on healthcare insurance 
• Training possibilities via Cornerstone/Skills Lab
• Employee Assistance Program and Recognize! (our global recognition program)

Our Commitment
Our unwavering commitment to inclusion, diversity, and equity (ID&E) means zero barriers to opportunity within Medtronic and a culture where all employees belong, are respected, and feel valued for who they are and the life experiences they contribute. We know equity starts beyond our workplace, and we must play a role in addressing systemic inequities in our communities if we hope to have long-term sustainable impact. Anchored in our Mission, we continue to drive ID&E forward both to enhance the well-being of Medtronic employees and to accelerate innovation that brings our lifesaving technologies to more people in more places around the world. 

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.