Edge AI Engineer: Deploy & Benchmark on MCU-NPU

REALTEK SINGAPORE PRIVATE LIMITED; Singapore; On-site; SGD 120,000 - 210,000; Full time

Job summary

Realtek's Ameba AIoT product line focuses on Wi-Fi/BT MCU and edge-AI SoCs for smart homes and consumer devices. We seek an AI Engineer to advance AI capabilities across the Ameba software stack, including tooling, vision and speech on edge devices.

You will extend the MCP toolchain for deployment, quantization and validation on Ameba hardware, and collaborate with firmware and platform teams. This role sits at the intersection of applied AI and real hardware.

Qualifications

• Master's degree and 5+ years AI/ML engineering experience.
• Experience building end-to-end ML systems from training to deployed inference.
• Experience building pipelines, APIs or internal platforms used by engineers.
• Practical experience with model optimization and deployment tools (ONNX/OpenVINO/TensorRT).

Responsibilities

• Extend MCP toolchain for model deployment, inference control and NPU reporting.
• Design end-to-end evaluation of AI development workflow across Ameba SoCs.
• Port, quantize and optimize vision and speech models for Ameba NPU platforms.
• Build end-to-end path for customers to bring their own trained models to Ameba.

Skills

Python

Deep Learning

Edge AI

Team Leadership

Education

Master's degree in Electrical Engineering, Electronic Engineering or Computer Science

Tools

ONNX

OpenVINO

TensorRT

Job description

Realtek's Ameba AIoT product line focuses on Wi-Fi/BT MCU and edge-AI SoCs for smart homes and consumer devices. We seek an AI Engineer to advance AI capabilities across the Ameba software stack, including tooling, vision and speech on edge devices.

You will extend the MCP toolchain for deployment, quantization and validation on Ameba hardware, and collaborate with firmware and platform teams. This role sits at the intersection of applied AI and real hardware.