Software Engineer

Responsibilities • Data & AI Automation: Design automated tools for data analysis and AI-driven insights to support the Design for Excellence (DfX) team's manufacturing and testing objectives.

• AI Agents & Workflows: Develop and deploy AI agents (utilizing tools like Vertex AI) to automate repetitive or manual DfX workflows, improving overall team efficiency and process scalability.
• Cloud Data Pipelines: Build and manage robust cloud infrastructure and data pipelines using Google Cloud Platform (GCP) and Google Cloud Storage (GCS) to seamlessly ingest, process, and analyze factory metrics.
• Software Development: Write clean, scalable, and well-tested code (primarily in Python, with opportunities to use Go), while maintaining CI/CD pipelines and version control best practices.

Minimum Qualifications • Graduated from recognized universities w/ a Computer Science or related degree.

• Communication: Professional working proficiency in English (written and verbal).
• Proficiency in Python programming, debugging, and testing for automation, data processing, and scripting.
• Experience programming in Go (Golang) for backend services, OR experience leveraging Vertex AI for building, deploying, or automating intelligent workflows and AI agents.
• Engineering Automation: Experience using Python for the automation and scripting of Siemens tools or developing software/automation scripts for hardware test environments and factory automation.
• Data & Analytics: Experience working with databases (SQL/NoSQL) and data analysis tools to track test metrics, process manufacturing data, and optimize workflows.
• Google Cloud Ecosystem: Hands-on experience building and managing cloud applications and data pipelines, specifically using Google Cloud Platform (GCP) and Google Cloud Storage (GCS).
• Development Tools: Experience with version control (Git), CI/CD pipelines, and standard software development lifecycles.
• TOEIC >650 or equivalent certificate