Energy+ Electric & Electronics Pvt. Ltd.
Requirements
Education
- Bachelor of Science (BSc) in Computer Science & Engineering
Experience
-
- 5 to 7 years
- The applicants should have experience in the following business area(s): Electronic Equipment/Home Appliances
Additional Requirements
- Age 30 to 40 years
- Experience: 5 to 7 years of hands-on experience in IoT engineering, embedded systems, and hardware-software integration.
- Programming Languages: Expert proficiency in C and C++ for embedded systems. Strong knowledge of Python for scripting, testing, and edge computing tasks.
- Embedded Systems: Deep experience with RTOS (FreeRTOS, Zephyr) and bare-metal programming across various architectures (ARM, ESP, STM32).
- IoT Protocols: Mastery of messaging protocols like MQTT and CoAP, and wireless stacks including LoRaWAN, BLE, and Cellular IoT.
- Hardware Knowledge: Strong ability to read schematics, use oscilloscopes/logic analyzers, and perform component-level debugging. Familiarity with serial interfaces (I2C, SPI, UART, RS-485/Modbus).
- Problem Solving: Proven ability to diagnose and solve complex issues in constrained environments (power, memory, bandwidth).
Responsibilities & Context
- End-to-End System Architecture: Design robust and scalable IoT architectures, from sensor selection and edge node deployment to gateway communication and cloud data ingestion.
- Firmware Engineering: Write, debug, and optimize low-level firmware for microcontrollers (MCUs) and microprocessors (MPUs) using C/C++, focusing on power efficiency, memory management, and OTA (Over-The-Air) updates.
- Hardware Integration & Prototyping: Lead the integration of various sensors, actuators, and electronic components (e.g., ESP32, ARM Cortex, custom PCBs). Oversee schematic design, PCB layout, and hardware prototyping.
- Connectivity & Protocols: Implement and manage diverse communication protocols. You will architect networks using local protocols (BLE, Zigbee, Wi-Fi), Long-Range protocols (LoRaWAN, NB-IoT, Cellular 4G/5G), and application-layer protocols (MQTT, CoAP, HTTP).
- Edge Computing & AI Integration: Deploy edge processing solutions to minimize latency and bandwidth. Integrate lightweight machine learning or computer vision models onto edge devices (e.g., NVIDIA Jetson series or Edge TPUs).
- Security & Compliance: Implement hardware-level security, secure boot, TLS/SSL encryption, and secure provisioning to ensure the integrity of the IoT ecosystem from device to cloud.
- Deployment & Field Testing: Lead field testing, industrial site deployments, and hardware validation. Troubleshoot complex hardware-software integration issues in real-world environments.
- Mentorship: Guide junior embedded engineers and collaborate cross-functionally with software, mechanical, and product teams to deliver cohesive solutions.
To apply for this job email your details to apply@chakricircular.com