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.