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IoT & Edge Computing Engineer

Garudalytics Private Limited · All India

📅 16/08/2026
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Garudalytics is looking for an IoT & Edge Computing Engineer to design and develop next-generation IoT, sensor, Edge AI and geospatial technology products. The role involves working across hardware, embedded systems, edge computing, communication technologies and cloud/GIS platforms. Position: IoT & Edge Computing Engineer Experience: Minimum 27 Years Location: Hyderabad Employment Type: Full-Time Company: Garudalytics Private Limited Key Responsibilities Design and develop IoT and Edge Computing solutions from prototype to production.Integrate sensors, microcontrollers, edge devices and communication modules.Develop solutions usingLoRa/LoRaWAN, BLE, Wi-Fi, 4G/5G, NB-IoT and GNSSDevelop device communication using MQTT, HTTP/REST, TCP/IP and WebSocket.Work with Raspberry Pi, NVIDIA Jetson, ARM-based systems and Linux.Implement edge data processing, analytics and AI/ML inference.Integrate IoT devices with GIS, GSM, G-Field and cloud platforms.Develop device configuration, monitoring, diagnostics and OTA firmware/software updates.Support sensor calibration, data acquisition, synchronization and validation.Work closely with Hardware, PCB, Embedded and AI teams for complete product development.Prepare technical documentation, architecture diagrams, test procedures and deployment documentation.Support prototype development, field testing and transition to manufacturing.Required Technical Skills Strong programming knowledge in Python and/or C/C++. Experience with Linux-based Edge Computing. Hands-on experience with MQTT and IoT communication protocols. Knowledge of LoRaWAN, BLE, Wi-Fi, 4G/5G and GNSS. Experience with Raspberry Pi, NVIDIA Jetson or similar edge platforms. Understanding of sensors, MCU/SoC, GPIO, UART, SPI, IC, RS232/RS485 and CAN. Knowledge of REST APIs, databases and cloud/IoT platforms. Basic understanding of AI/ML deployment at the Edge. Ability to troubleshoot hardwaresoftware integration issues. Preferred Skills Experience in UAV/drone payloads, geospatial systems or industrial IoT. Experience with TinyML, TensorRT, ONNX Runtime or Edge AI. Experience with Docker and containerized Edge applications. Knowledge of cybersecurity, secure device communication and OTA updates. Experience in developing products from PoC prototype field deployment manufacturing. Qualification B.Tech/B.E./M.Tech/MCA in Electronics, Embedded Systems, Computer Science, Electrical Engineering, IoT or a related discipline. What You Will Work On The engineer will contribute to Garudalytics Geo-IoT and Edge AI product ecosystem, connecting physical sensors and field devices with G-Field, Garudalytics Smart Mapping (GSM), AI analytics and geospatial platforms. Interested Canidates Can apply or Share your resume on hr@garudalytics.com Compensation: 11,111.39 - 15,611.43 per month Work Location: In person .
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