Software Engineer

Brooks is a leading provider of automation solutions with over 40 years of experience in the semiconductor industry offering precision robotics integrated automation systems and contamination control solutions that empower chip manufacturers worldwide. Our product portfolio includes a range of automation solutions including robots vacuum systems and atmospheric robots for semiconductor manufacturing().

Are you looking for a place where you can be part of a transformation Join us at Brooks Automation and be a part of a dynamic organization that is shaping the future of technology.

Job Description

About the Role:

This role focuses on building production-ready AI-enabled systems combining backend/full-stack development and data engineering with machine learning capabilities. The position emphasizes system integration data pipelines and AI infrastructure to support intelligent manufacturing applications.

Work Location: Onsite Zhubei City Hsinchu County Taiwan.

Key Responsibilities:

• Design and develop backend services and full-stack web applications to support AI-driven analysis and system workflows.
• Explore and analyze data from various sources and develop data visualizations to help users identify troubleshoot and prevent AMC-related issues.
• Develop implement and fine-tune machine learning models for anomaly detection pattern discovery and predictive analysis across multiple product lines.
• Deploy and maintain AI/ML models in production environments including integration with backend systems and applications.
• Design and maintain AI infrastructure and runtime environments (e.g. training pipelines deployment frameworks) in collaboration with global engineering teams.
• Work closely with cross-functional engineering teams to understand domain knowledge and translate requirements into AI-powered analytical solutions that address domain-specific challenges.
• Provide support to internal engineers and external customers by explaining data science methodologies model behavior and solution design.
• Ensure system reliability scalability and maintainability including monitoring and troubleshooting of AI-driven applications.
• Travel to customer cleanrooms for system deployment integration and on-site troubleshooting support.

Qualifications:

• Masters degree in computer science or related data science major.
• 5 years hands-on experience in backend development data engineering statistical modeling feature extraction and analysis.
• Strong proficiency in Python (data processing backend or ML-related development)
• Experience in data analysis preprocessing and visualization (e.g. Pandas NumPy Matplotlib Plotly)
• Experience in full-stack or backend development (e.g. React / Angular / Vue )
• Solid experience in SQL and data processing including data modeling and transformation
• Practical experience in machine learning implementation (not limited to research but including real-world deployment or integration)
• Experience in building or maintaining AI/ML environments (e.g. model deployment training pipelines)
• Experience with data visualization tools or dashboards (e.g. Grafana)
• Experience in image processing semi-supervised learning and/or predictive systems is a plus.
• Experience in MLOps or AI system deployment (e.g. MLflow model versioning monitoring)
• Knowledge of software development skills and processes (design patterns unit test CI/CD docker).
• Ability to understand domain-specific requirements and translate them into technical solutions.
• Eager to continuously learn and adapt to changing technologies and tools.
• Self-driven with the ability to prioritize tasks and drive execution independently.
• Familiarity with the Agile methodology and tools like Azure DepOps Github etc.
• Good written and basic verbal communication skills in English.
• Experience of the semiconductor industry is a plus.

Salary Ranges