Senior Software QA Engineer in Falmouth

About Engineered Arts

Engineered Arts is the leading manufacturer of full-size humanoid robots used for entertainment, education and communication. With 20 years of hardware and software development, our robots have been sold in over 30 countries worldwide with customers such as NASA, PwC, Meta and many more. Our Ameca robot is well known as ‘the face of AI’ and a social media viral success, taking advantage of the generative AI craze. Along with our ultra-realistic Mesmer range of animated figures, our robots continue to surprise and excite visitors at museums, theme parks, visitor attractions and trade shows as well as aid leading universities with AI and robotics research. Our robots are poised to break into the future mega-expansion service robot segment, with applications such as front of house, receptions, check-in desks, information points and PoS. We are a team of dedicated engineers and creatives striving to develop the very best experiences for our customers. Our internal motto is ‘Be Wow’, everything we do is fun, entertaining or surprising to encounter. We always push the boundaries of what is possible in humanoid robotics, researching and developing new systems and techniques to further their appeal.

Role Outline

Engineered Arts is looking for a Senior QA Engineer to join the software team. You’ll be challenged with developing and supporting our deployment and testing processes for all the robots. The focus will be on improving and maintaining the high quality of our uniquely amazing humanoid robots through designing and implementing tests, debugging, and QA metrics. Hardware is at the centre of everything we do and this role will involve the support of hardware monitoring and issue detection as we design, manufacture, commission, and test every robot we sell.

Main Responsibilities

• Manual & Automated Test Coverage: Drive the development and maintenance of both automated and manual test coverage, improving the efficiency and reliability of testing processes across UI, cloud services, robot software, and AI-driven features.
• AI-Accelerated Automation: Actively leverage AI coding assistants and tools to rapidly build, maintain, and scale automated test suites.
• Testing Approaches: Define and implement testing approaches for releases, including regression, compatibility, and performance validation.
• Defect Triage & Collaboration: Work closely with Product Managers and cross-functional teams (software, hardware, and commissioning) to triage defects, identify integration issues, prioritise fixes, and support release decisions.
• Quality Strategy & Metrics: Contribute to and help shape the overall quality strategy, maintaining visibility of product quality through test reporting and metrics to support data-informed decision‑making.
• Customer Support Validation: Support the validation and investigation of customer‑reported issues, helping identify root causes and potential workarounds.
• Mentorship & Standards: Apply and promote testing standards and best practices, supporting the onboarding and development of other engineers by sharing knowledge and coaching on tools and processes.

Qualifications, Knowledge, Key Skills and Experience

Essential:

• 4+ years of experience in testing and quality.
• Strong proficiency in using AI tools to accelerate test creation, automation, and data analysis.
• Extensive experience writing useful and efficient automated tests, specifically using frameworks like Playwright and pytest.
• Experience in a robotics or hardware‑centric setting.
• Working with Python and Ubuntu or other Linux‑based operating systems.
• Experience working with git, GitLab and CI/CD pipelines to maintain code quality and effective release management.
• Experience testing and evaluating LLMs, including interest in conversational experiences driven by robots.
• Diligent and organised working style, with clear communication of issues found.

Desirable:

• Experience in testing web UIs.
• Experience in testing agentic AI solutions.
• Experience building or maintaining QA telemetry dashboards.
• Strong understanding of test automation tools and methodologies.

Useful:

• Understanding of low‑level / embedded systems.
• Experience with continuous deployment in cloud systems (particularly Terraform).
• Experience with testing distributed systems relying on third‑party services.
• Agile methodologies.