Edge IoT System Engineer

>> ABOUT THE ROLE

At 360Watts, we’re reimagining how homes interact with solar energy — intelligent, proactive and adaptable to users. We’re looking for an AIoT embedded systems engineer who is also curious about edge ML integration and data-driven automation. You’ll work across ESP32, Raspberry Pi, and Jetson-based systems — building the firmware and logic layer of our intelligent solar controller stack.

>> YOUR ROLE

• Develop and maintain firmware for ESP32-S3 with modular FreeRTOS architecture, OTA firmware updates, and energy-specific control loops
• Interface with sensors, inverters (MODBUS RTU/TCP), and relays
• Integrate MQTT communication and OTA logic with our EMS backend
• Structure and prepare embedded systems for on-device inference using TFLite Micro or similar models
• Collaborate with hardware intern and EMS software team to enable end-to-end control-data loops
• Assist in designing OTA model update workflows and fallback logic
• Write diagnostic scripts or tools to simulate, test, and monitor control decisions
• Design layered logic that scales across Basic/Advanced/Autonomous automation energy system

>> WHAT YOU BRING TO THE ROLE

i) Tools / Languages / Protocols:

• C/C++ → Required for ESP32 firmware, memory handling, drivers, OTA, ML inference integration
• Python → Required for ML model pipeline (TFLite, ONNX conversion, feature engineering) and Edge controller logic (e.g., RPi CM4 service daemons)
• Familiarity with MQTT, JSON, and sensor/control payload design

ii) Embedded systems:

• ESP32 (ESP-IDF), FreeRTOS modular task design, EEPROM/SPIFFS
• MODBUS RTU/TCP, UART, I2C, SPI, GPIO, ADC
• OTA firmware build + rollback logic
• Sensor and relay interfacing
• Power-aware firmware design (watchdogs, reset handling, boot states)

iii) EDGE AL/ML readiness:

• Exposure to TFLite Micro, ESP-DL, or Edge Impulse workflows
• Understanding of Sensor data → Feature → Inference → Action loops
• Understanding of Model memory profiling, latency, and timing trade-offs
• Contribute to ML OTA update pipeline

iv) BONUS

• Jetson Nano / CM4 experience (Python/Flask services)
• Docker basics (for local inference deployment)
• Experience in solar energy or building energy management

>> WHAT WE VALUE

• Bachelors or Masters degree
• System-level thinking — across both hardware & firmware layers
• A tinkerer mindset — who builds, codes, debugs, and tests
• Taking on self-ownership
• Structured work ethic

>> JOB DETAILS

• Salary is negotiable (depending on skillset aligned with JD and ambition to work in startup)
• ESOP (stock options)
• Probation period of 6 months
• On-site office + pilot site visits
• Location is Coimbatore

If you enjoy working in a startup with freedom to own and develop a product - together with young passionate team and building road to a new energy future for the world - THEN JOIN US !!