AI Hardware Engineer

Company Description

Protowiz Private Limited is a powerful Research and Development company focused on solving customer problems efficiently and effectively. By leveraging advanced electronics technology, we address customer and industrial needs as well as specific problems on-site. Our commitment is to deliver solutions that meet the highest potential for our clients in a friendly and professional manner.

Role Description

This is a full-time, on-site role for a AI Hardware Engineer in Coimbatore. The Engineer will be responsible for developing and delivering projects and products .

Description

Develop AI-powered hardware devices such as AI cameras, edge-computing modules, and sensor-based systems.

Integrate and deploy AI / ML models (vision, audio, sensor analytics) on embedded and edge hardware.

Optimize models for speed, accuracy, memory usage, and low-power performance on devices like Jetson, Raspberry Pi, and Coral TPU.

Integrate multiple sensors such as camera modules, depth sensors, IMUs, GPS, and environmental sensors.

Work with hardware communication interfaces including SPI, I2C, UART, USB, CAN, and GPIO.

Develop embedded firmware for microcontrollers like ESP32, STM32, RP2040, and ARM Cortex.

Implement real-time data capture, stream processing, and preprocessing pipelines.

Build live video streaming pipelines using RTSP, RTMP, WebRTC, or custom protocols.

Implement computer vision features such as object detection, tracking, people counting, and anomaly detection.

Build alert systems using push notifications, cloud APIs, SMS, email gateways, or hardware alarms.

Integrate connectivity modules such as WiFi, BLE, LoRa, and 4G / 5G for network communication.

Use MQTT, HTTP, and WebSocket protocols for sending device data to cloud servers.

Integrate devices with cloud platforms like AWS IoT, Azure IoT, GCP IoT, or custom Protowiz cloud platforms.

Build and test hardware prototypes, performing PCB-level debugging and device calibration.

Create and maintain BOM (Bill of Materials), component selection, and cost optimization for production.

Support enclosure integration, thermal management, and hardware reliability testing.

Prepare technical documentation, testing procedures, and deployment SOPs.

Collaborate with cross-functional teams for mass production and field installations.

Provide ongoing technical support for deployed AI hardware systems and troubleshoot field issues.