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Walaris

Autonomous drone detection, tracking, identification systems

UI Test Engineer

Test Automation EngineeringPosted on Nov 13
Full-timeNuremberg, GermanyNo salary listed

About the Job

Requirements

  • A bachelor's or master's degree in computer science, software engineering, electrical engineering, information technology, or a comparable qualification.
  • Experience developing and maintaining automated user interface, application programming interface, and end-to-end tests using frameworks such as Playwright, Selenium, pytest, or an equivalent.
  • Familiarity with AI-assisted development and testing tools such as Playwright MCP, Claude Code, or Momentic to accelerate test creation, exploratory testing, debugging, and regression analysis.
  • Fluency in English and German.

Responsibilities

  • Test real-time user interfaces for AI- and machine-learning-driven image processing systems, including drone detection and automated target recognition.
  • Maintain automated user interface, integration, and system tests to ensure software quality, reliability, and performance.
  • Design reliable automated testing strategies spanning modern web frontends and backend services, including integration into continuous integration and continuous delivery pipelines.
  • Validate intuitive, high-performance visualization tools for sensor data, including 2D/3D representations and real-time system feedback.
  • Continuously improve software quality assurance processes, testing strategies, and quality metrics.
  • Optimize testing tools and software toolchains to support efficient development and reliable releases.
  • Collaborate with cross-functional teams to identify software risks, analyze issues, and implement effective solutions.
  • Contribute to frontend improvements, ensuring interfaces meet evolving product and customer requirements.

About the Company

Walaris

Autonomous drone detection, tracking, identification systems

Walaris designs autonomous EO/IR-based drone detection, tracking, and identification systems for counter-UAS, perimeter surveillance, and critical infrastructure protection. Its AirScout software uses artificial intelligence and high-performance computer vision to provide real-time airspace awareness and to detect, classify, and track drones. The system combines EO/IR sensing with AI-powered algorithms to deliver live situational awareness to security operators. The goal is to help customers monitor and protect airspaces and critical assets by quickly identifying and responding to drone threats.

Company size
51-200
Company stage
Seed
Total funding
$8.2M
Headquarters
Atlanta, GA
Founded
2017

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