(Only 24h Left) Embedded Linux Engineer – Healthcare IoT

3 weeks ago

India Cozzera Full time

Job Description (JD) Position: IoT / Embedded Systems Engineer (Audio Processing) Experience: 5+ Years Location: Remote – India About the Role We are seeking a highly skilled IoT / Embedded Systems Engineer with strong expertise in embedded Linux, audio signal processing, and edge AI. You’ll work directly with the Head of Engineering to develop and enhance the IoT ecosystem—integrating hardware, software, and AI-driven health monitoring. This role is perfect for an engineer who loves innovation, is passionate about solving real-world problems in healthcare, and enjoys working in a dynamic, fast-growth startup environment. Key Responsibilities - Develop, test, and optimize embedded Linux-based applications for IoT devices (RPi, Jetson, etc.). - Collaborate across teams to design, debug, and integrate IoT solutions with mobile and server applications. - Implement audio signal processing pipelines and embedded AI capabilities. - Ensure robust device communication via Bluetooth LE, Zigbee, and secure network protocols. - Develop and maintain firmware with strong focus on security, reliability, and performance. - Build and test high-quality embedded code using production software frameworks. - Integrate with REST APIs, WebSockets, and cloud services (preferably Azure). - Collaborate in product design, feature development, and user feedback cycles. - Support production and deployment of IoT devices and troubleshoot in-field issues. Required Qualifications - 5+ years of hands-on experience in IoT/embedded development. - Strong experience with Embedded Linux (RPi, Jetson, etc.). - Proficiency in Rust, Python, or C/C++ for embedded software. - Solid understanding of audio signal processing and sensor data handling. - Familiarity with TensorFlow, PyTorch, or ONNX for edge AI. - Experience interfacing with Bluetooth LE, Zigbee, and hardware communication protocols. - Strong grasp of Linux kernel functions, REST APIs, and WebSocket integrations. - Knowledge of data and device security, encryption, and secure firmware updates. - Familiarity with Git, version control, and CI/CD workflows. - Understanding of electronics influencing firmware and debugging. - Experience with Azure IoT or equivalent cloud platforms (AWS IoT / GCP IoT Core). Nice-to-Have Skills - Edge-optimized AI deployment experience. - Healthcare device integration knowledge (IoT medical sensors). - Experience with fleet management systems and OTA updates.

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