Jobs at Tether.io

Build and maintain desktop and mobile test automation, integrate tests into CI/CD pipelines, investigate flaky failures, manage test data and environments, report and verify bugs, collaborate on acceptance criteria, and perform functional, exploratory, and regression testing. Requires strong TypeScript or JavaScript skills, Playwright, WebdriverIO, Appium, Electron or React Native testing, and experience with real iOS and Android devices.

Develop and maintain Keet Desktop, a cross-platform peer-to-peer communications application built with React and the Pear runtime. Responsibilities include implementing UI/UX, optimizing performance, writing maintainable and tested code, debugging complex frontend applications, and contributing to decentralized communication technology. The role requires strong JavaScript or TypeScript and React/Preact experience, state-management expertise, and effective communication in a remote global team.

Lead engineering teams building QV.AC, a privacy-preserving, on-device AI assistant. Own technical design, app-to-AI APIs, engineering quality, performance, reliability, and delivery. Partner with product managers to scope features, assess local AI capabilities, and validate ideas through prototypes. Mentor team leads, coordinate with AI research teams, and establish clear goals and operating standards for consumer product development.

Lead API and frontend engineering teams building Keet, a peer-to-peer messaging and video calling app. Own technical design, API boundaries, engineering quality, reliability, and performance while partnering with product managers on roadmap and scope. Mentor team leads, establish operating clarity, unblock delivery, and contribute hands-on when needed. Requires strong JavaScript and React expertise, consumer product engineering leadership, product judgment, and familiarity with distributed, offline-first, and eventually consistent systems.

As a Research Engineer Intern, you'll develop state-of-the-art LLM and multimodality models, optimize distributed training frameworks, and collaborate on the application of large models in business scenarios.