Data Applications Engineer

YES (Yield Engineering Systems, Inc.) is a leading manufacturer of reliable, high-tech, cost-effective capital equipment that transforms materials and surfaces at the nanoscale. From startups to the Fortune 50, our customers rely on YES to help them unleash products that change lives – from cellphones and IoT devices, to AI and virtual reality, to diagnostic tests for COVID.

As a preferred provider of wet and dry process technology, we look forward to talking with smart, energetic, team-oriented people who can grow with us. We provide competitive salary and benefits, including long-term incentives, and some of the best co-workers you’ll find anywhere. If this appeals to you, please read on!

Job Title: Data Applications Engineer

Location:

We are seeking a highly skilled and motivated Data Applications Engineer with a minimum of a master’s degree in computer science, Engineering, or a closely related field. The successful candidate will be responsible for building, maintaining, and administrating data-driven applications to support the development of a digital twin for a semiconductor manufacturing company. This role demands advanced data science and computer vision expertise, alongside experience in C# programming, and involves designing systems that integrate engineering data, simulation results, image processing, and machine learning models to build predictive and autonomous capabilities.

Responsibilities will include, but not be limited to:

• Design, develop, and deploy applications supporting the digital twin of semiconductor manufacturing processes.
• Develop automated data analysis tools and visualizations for engineers and operations teams.
• Integrate and analyse data from multiple sources (sensor data, imaging systems, databases, physics-based simulations, etc.) to derive insights and drive system performance.
• Apply computer vision and image processing techniques to enhance the digital twin's capability to mirror real-world environments and equipment.
• Work closely with engineering and business teams to define data requirements, perform data transformations, and ensure high-quality outputs.
• Build data pipelines and infrastructures for reliable, scalable, and secure data flow.
• Develop and deploy machine learning models for prediction, classification, anomaly detection, and optimization tasks.
• Understand CFD & FEA simulation outputs and incorporate into Digital Twin system.
• Write well-documented, efficient code in Python and C# for data processing and algorithmic implementations.
• Monitor, troubleshoot, and resolve issues related to data integration, system performance, and application stability.
• Create and maintain detailed documentation of data flows, algorithms, application logic, and technical implementations.
• Ensure data security, compliance, and governance standards are met.
• Present analysis and simulation results to stakeholders in a clear, structured format.
• Continuous research and apply best practices in digital twin development, machine learning, and computer vision.

Required Qualifications:

• Minimum of a master’s degree in computer science, Data Science, Engineering, or a related discipline.
• Proven experience in designing and deploying machine learning models and computer vision solutions.
• Strong proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch, OpenCV, Matplotlib).
• Hands-on experience with C# programming for application development and integration.
• Solid understanding of statistics, data structures, and algorithms.
• Ability to perform exploratory data analysis, data cleaning, and feature engineering.
• Knowledge of techniques such as classification, regression, anomaly detection, and optimisation.
• Experience with SQL for data handling and querying.
• Familiarity with version control tools such as GIT or Bitbucket.
• Strong analytical skills and the ability to work with structured and unstructured data from complex systems.

Preferred Qualifications:

• Professional experience with digital twin technologies, particularly in semiconductor or advanced manufacturing sectors.
• Experience with CFD tools (ANSYS, Fluent, COMSOL, Star-CCM+) is a plus.
• Knowledge of Generative AI and NLP is a strong plus.
• Experience working in cross-functional teams and delivering production-level software solutions.
• Research experience involving machine learning applications to solve real-world engineering or manufacturing problems.
• Experience deploying and managing machine learning models in production using tools like MLflow, Kubeflow, or Airflow.
• Familiarity with CI/CD pipelines, Docker/Kubernetes, and cloud platforms (AWS, Azure, or GCP) for automating and scaling ML workflows.
• Understanding of model monitoring, versioning, and performance tracking to ensure reliability and reproducibility in production environments.

Compensation:

• YES offers a stimulating and fun working environment, competitive salaries and benefits, and long-term incentives.

Additional Information:

• YES is an equal opportunity employer and values diversity. All employment is decided based on qualifications, merit and business need.

Come to find out why YES is such a great place to work. Apply today!