Senior CV Engineer - Real-Time Edge ML (C++/Python)

Kulicke & Soffa; Fort Washington (Montgomery County); On-site; USD 150,000 - 210,000; Full time

Job summary

Kulicke and Soffa in the United States is seeking a senior computer vision and ML software engineer to design, implement, and optimize real-time image-based solutions for semiconductor packaging equipment.

You will work with multi-discipline teams to analyze requirements, develop CNN-based models, and deploy them on resource-constrained edge devices while ensuring low latency and high accuracy.

Qualifications

• Proficient Object-Oriented Analysis & Design Methodologies in C++.
• Deep theoretical & practical background in Applied Mathematics, Optimization, Signal Processing, Object/Pattern Recognition.
• Experience in debug and bring-up of prototype HW/SW systems including optics, illumination, imaging sensors, and their interactions with motion systems.
• Experience with developing real-time C++ image processing algorithms under Linux, TCP/IP Networking, multithreading, and inter-process communication.
• Experience with 3rd party imaging tools/APIs/SDKs such as MIL (Matrox Imaging Library), Matlab, OpenCV or other open source libraries is a plus.
• 5+ years of CNN-based computer vision algorithm and product development experience.
• Experience implementing, training, and evaluating image-based classification, object detection, segmentation, and anomaly detection models.
• Experience deploying machine-learning models at scale in resource-constrained edge environments with ONNX, OpenVINO, and/or TensorRT.
• Deep understanding of convolutional neural networks, including receptive fields, feature hierarchies, residual networks, bottleneck layers, attention mechanisms, optimization behavior, augmentation effects, calibration techniques, and common failure modes.
• Strong background in scientific experimentation, including ablation studies, error analysis, robustness evaluation, statistical validation, and root-cause analysis of model behavior.
• Excellent Python programming skills using PyTorch, pandas, numpy, matplotlib, MLflow, and Optuna.
• Master’s or PhD in Computer Science, Computer Engineering, Software Engineering or related fields.

Responsibilities

• Work closely with multi-site software, systems, and application teams to develop and deliver computer vision and machine-learning solutions for advanced semiconductor packaging equipment.
• Review, analyze, and specify product, system, and customer requirements for vision and ML-based features.
• Design, implement, test, and maintain production computer vision software and algorithms using C++ and Python.
• Develop, train, evaluate, interpret, optimize, and deploy image-based machine-learning models.
• Work with system engineers and domain experts to identify high-value inspection, process optimization, root cause analysis, and equipment automation opportunities that improve machine UPH, accuracy, yield, and MTBA.
• Collaborate with mechanical, electrical, motion, optics, process, and application engineers to assess system design alternatives and understand interactions among imaging, illumination, motion, hardware, and algorithms to resolve customer issues.

Skills

C++

Python

CNN-based CV

OOAD

Multithreading

Linux

ONNX

OpenVINO

TensorRT

OpenCV

Mathematics/Optimization

PyTorch

Education

Master’s or PhD in Computer Science/Engineering

Tools

MIL

Matrox MIL

OpenCV

Job description

Kulicke and Soffa in the United States is seeking a senior computer vision and ML software engineer to design, implement, and optimize real-time image-based solutions for semiconductor packaging equipment.

You will work with multi-discipline teams to analyze requirements, develop CNN-based models, and deploy them on resource-constrained edge devices while ensuring low latency and high accuracy.