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Avelios Medical

Neuromorphic processors for brain-like sensing

Automated Software Tester

Test Automation EngineeringConfirmed live in the last 24 hours
Full-timeMunich, GermanyNo salary listedIn-person

About the Job

Requirements

  • A degree in IT Security, Computer Science, Electrical Engineering, or a related field is required.
  • Some years of experience in software testing, ideally with automated UI testing in web applications, and experience building and maintaining reusable test components and workflows are required.
  • Strong experience with TypeScript and automated testing frameworks, preferably Playwright, is required.
  • A solid understanding of Page Object design patterns and test automation best practices is required.
  • Strong analytical and problem-solving skills, a hands-on and solution-oriented mindset, collaboration skills, and the ability to advise on testing approaches are required.
  • Experience creating, maintaining, and extending Page Objects for complex UI components is required.
  • Fluency in English and German is required.

Responsibilities

  • Design, implement, and maintain automated UI tests for software solutions in system simulation, cloud services, and data management.
  • Build and extend Page Objects for UI components to provide stable, reusable interactions for automated tests.
  • Create, organize, and execute test cases based on Page Objects to validate workflows and user interactions.
  • Analyze test results, report defects, and continuously improve test automation coverage and reliability.
  • Collaborate with team members to advise on testing best practices, support development of new Page Objects, and ensure high-quality software delivery.

About the Company

Avelios Medical

Neuromorphic processors for brain-like sensing

Avelios Medical makes ultra-efficient neuromorphic processors that imitate how the brain processes information. Their devices use analog-mixed signal circuits to recreate spiking neurons and synapses, allowing sensor data to be processed faster and with much less energy than traditional computer chips. The hardware-based approach is different from software-focused AI by building brain-like processing directly into the processor. This lets businesses access and analyze sensor data more quickly while consuming less power, with goals that include enabling AI-powered healthcare tools and other healthcare-digital workflows.

Company size
201-500
Company stage
Series A
Total funding
$37.7M
Headquarters
Munich, Germany
Founded
2020

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