AAC TECHNOLOGIES PTE. LTD. Hiring! Full Time Senior Vision Software Development Engineer in East Region (Singapore), Earn up to SGD 8,000 - Ricebowl

Overview

We are seeking a talented and driven Wafer Tester Vision Software Development Engineer to build and optimize the core software architecture powering our automated wafer inspection and probing systems. In this role, you will develop high-performance, real-time vision applications, integrate machine learning/deep learning inspection models, and write clean, scalable code for hardware-software synchronization. Your software will directly control sub-micron alignment and micro-defect detection, ensuring world-class reliability and yield across our testing operations.

Responsibilities

• Design, build, and maintain production-grade software modules for image acquisition, real-time image processing pipelines, and feature extraction.

• Code and optimize advanced computer vision algorithms for wafer-to-probe alignment, die sorting pattern recognition, and micro-defect identification.

• Develop driver-level interfaces and software APIs to seamlessly connect high-speed industrial cameras, frame grabbers, and motion controllers with the main tester platform.

• Optimize and deploy pre-trained deep learning models (e.g., CNNs) onto edge hardware using acceleration libraries for real-time defect classification.

• Optimize code execution, multi-threading, and GPU/CPU memory allocation to ensure ultra-low latency processing capable of matching high-throughput fab speeds.

• Write rigorous unit tests, integration tests, and hardware-in-the-loop (HIL) simulations to guarantee software robustness during continuous cleanroom production.

• Maintain version control, document software architecture, and integrate modules into the team's automated

build and continuous deployment pipelines.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a highly technical related field.

• Minimum of 5+ years of professional software engineering experience developing portable/computer vision or machine vision applications.

• Advanced proficiency in C++ (Modern C++14/17/20 preferred) and/or Python and C# , with strong object-oriented programming (OOP) principles.

• Extensive experience with core vision and imaging libraries such as OpenCV , Halcon, MIL, or Point Cloud Library (PCL).

• Understanding of multi-threading, concurrency, and performance optimization tools (e.g., NVIDIA CUDA, TensorRT, OpenVINO, or Intel IPP).

• Proven experience with Git, CMake, and working within Linux or Windows development environments.

• Experience with camera communication standards like GigE Vision, USB3 Vision, Camera Link, or CoaXPress.

• Direct background working on semiconductor equipment (e.g., wafer probers, wire bonders, pick-and-place systems).

• Familiarity with user interface (UI) frameworks like Qt or .NET for data and image visualization.

AAC Technologies is a leading provider of sensory experience solutions with the goal of building the future of interactive sensory technologies. Through continuous innovation and global presence, we have established long-term strategic partnerships with global smart device clients. We have strong capabilities in Acoustics, Optics, Haptics, Sensor and Semiconductor, and Precision Manufacturing based on decades of industry experience.

AAC Technologies’ mission is to create a better sensory experience for the world, and our vision is to become a global leader in sensory technology with a broad solution portfolio. We keep innovating sensory technologies to create new interaction experiences. In the future, we will focus our efforts on the industries of smartphones, intelligent vehicles, virtual reality, augmented reality, and smart homes to help create a new era of sensory experience. By virtue of our outstanding track record and leading manufacturing capabilities, we have been awarded a series of milestone honors in recent years, including “Forbes Asia's 50 Best Big Public Companies”, the “Most Honored Company” by Institutional Investor, and the “China Digital Economy Industry Best Practices” by APEC.