Junior QA Engineer (Spatial Computing /AR)

Auki Labs helps robots see the world around them. We use our decentralized computing tokenized network to help devices understand where they are and what they are looking at. Auki's mission is to improve civilizations intercognitive capacity, help computers think, and solve for better human & AI interactions. At Auki Labs, we believe in empowering our team members to grow alongside the company. You’ll have the opportunity to work on groundbreaking projects, develop new skills, and drive real impact at the company & for broader society. Our culture of innovation and continuous learning ensures that your career trajectory will be as ambitious as the technologies we’re building.

Requirements:

  • Break things — actively explore features, edge cases, and unusual user behaviors. The more damages and issues found, the better.
  • Evaluate immersive spatial AR products and applications across multiple devices, browsers, and environments.
  • Contribute to lightweight QA processes, regression checklists, and testing documentation as the product evolves.
  • Jump into ad hoc testing needs during launches, experiments, and production issues.
  • Be comfortable working with incomplete features, changing requirements, and startup-level ambiguity.

Qualifications:

  • University graduate Bachelor's of Computer Science/Technology/Engineering
  • Curious mindset with strong problem-solving ability, conventional or unconventional way.
  • Comfortable learning new technologies and tools quickly.
  • Creativity on finding multiple perspectives and angles during evaluations.
  • Basic understanding and/or willingness to understand software testing principles and QA workflows.
  • Tech stacks: Javascript, playwright, appium, postman, k6, github

To apply for this position, please send your CV and portfolio to agnes@aukilabs.com or use our contact us form by pressing apply.

We are an equal opportunity employer and welcome applications from all qualified candidates. Information provided will be treated in strict confidence and will only be used for recruitment-related purposes. Information of unsuccessful candidates will be destroyed within six months.

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