Associate Principal Robotics Test Engineer

About us

Dyson’s Test & Quality Assurance team helps ensure that every product reflects the quality and reliability of the Dyson brand. We apply world-class engineering practices and automated testing methods across the product lifecycle. This includes simulating product components and operating conditions to test a wide range of scenarios, as well as using image recognition and other advanced technologies to identify and validate elements displayed in user interfaces. Our Quality Management System experts embed quality throughout the Scaled Agile Framework development process and use customer feedback to inform future product improvements. Our laboratories support unattended testing of both partial and complete products—including moving robots—enabling effective remote testing and collaboration.

• Lead the design and development of test frameworks for validating robot vacuum cleaner firmware and its integration with cloud services and the MyDyson app.

• Lead the design and development of vision-based testing frameworks to assess robot behaviour and capture test data for issue diagnosis and debugging.

• Lead the design and development of data pipelines that transform test logs and results into actionable insights.

• Develop and drive a leading quality dashboard that provides early indicators of software and hardware quality (SWHWPS).

• Drive innovation in test methodologies, including the application of AI/ML and advanced data analytics to improve detection reliability and test efficiency.

• Serve as a technical authority within the Test & Quality Assurance team, collaborating with Development, Operations, Quality and Design teams to integrate testing seamlessly into the product development lifecycle.

• Define and communicate the robot test framework roadmap, report progress to senior stakeholders, and ensure clear alignment across teams.

• At least 7 years of experience in software test framework or test infrastructure development.

• A Bachelor’s or Master’s degree in Computer Engineering, Electronic Engineering, or a related field.

• Advanced proficiency in Python for test framework development.

• Strong knowledge of software design patterns and principles, as well as concurrent programming.

• Experience designing vision-based systems and developing object-tracking solutions.

• A strong understanding of electronic hardware and its interfaces with software systems.

• Excellent written and verbal communication skills, with the ability to present complex technical information clearly to executives and non-technical stakeholders.

• Knowledge of software architectures for IoT products, including embedded systems, mobile applications, cloud services and machine learning.

• Experience developing professional, automated web-based dashboards would be advantageous.