Senior QA Engineer - IoT

We are seeking a Senior QA Engineer with extensive experience testing connected devices, firmware, companion apps, cloud interfaces, leading quality strategy, and driving end-to-end testing across complex, cross-device ecosystems. This role requires deep expertise in responsive/adaptive UI, AI models validation, strong technical judgment, and the ability to influence engineering and product teams to deliver high-quality IoT experiences at scale for global users by supporting internationalization and localization workflows and automation.Contract Duration: 12 Months (Potential 12-Month Extension Based on Performance)Work Location: Onsite – Pune or Bangalore, IndiaClient: Renowned Multinational Telecommunications Company (to be disclosed during interview)Responsibilities- Create and execute scripts for functional UI/UX, AI model automation and testing on SW applications - Design and execute test plans for AI models and systems, developing automated testing frameworks and tools tailored for AI validation on languages - Internationalization testing and language-dependent functional validation - Test IoT-specific interaction patterns and expanded UI features - Review designs in collaboration with product/design teams to ensure layout accuracy - Execute regression, sanity, debugging analysis for validation, OTA firmware update testing - Log defects clearly and track issues through resolution - Create detailed test plans, cases, and reports - Work with engineering teams to reproduce complex defects - Data analysis for testing process improvements - Mentor QA team members on IoT best practices, workflows, and toolingRequirements- Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field; Master’s preferred. - 5+ years of SW QA experience - 3+ years of IoT devices or embedded systems experience - Strong understanding of AI/ML principles, model lifecycle, and data pipelines - Programming languages: Python, Kotlin, Java, C++ (optional) - Software Development: Android Studio, Jenkins (optional) - MLOps Tools (Optional): NeptuneAI, MLFLow, PyTorch, Diffusers, Transformers - Deep learning knowledge - Deep understanding of responsive/adaptive design principles and large-screen UX requirements - Strong experience testing across a wide range of devices, resolutions, and form factors - Ability to analyze complex UI behaviors and identify root-cause issues across frontend and device layers - Experience defining test strategies, improving QA processes, and partnering with product/engineering leads - Strong communication skills with ability to provide guidance and influence cross-functional teamsTech Stack- Protocols: Bluetooth, BLE, Zigbee, WiFi, NFC, MQTT - Testing Tools: Firmware flashing tools, Bluetooth sniffers, network analyzers, UART logs, serial monitors - Automation: Python scripts, Robot Framework, UIAutomator - Companion App Tools: Appium, Android Studio, Xcode - Cloud Tools: AWS IoT, Azure IoT Hub, Google Cloud IoT, MQTT Explorer - Diagnostics: Wireshark, packet sniffers - Test Management: Jira

Apply Now