Software Engineer, Web Platforms for Smart Manufacturing

Google Google · Big Tech · New Taipei, Banqiao District, New Taipei City, Taiwan

Software Engineer role focused on building full-stack web applications and backend services for smart manufacturing, with a key responsibility to integrate AI models (like Gemini) and intelligent agents to enhance factory operations through predictive analysis and anomaly detection. The role involves owning projects from prototype to production and collaborating with cross-functional teams.

What you'd actually do

  1. Design, develop, and test cohesive, full-stack web applications and scalable backend services that drive smart manufacturing and hardware automation.
  2. Integrate Artificial Intelligence (AI) models (like Gemini) and intelligent agents into our web platforms to enable predictive analysis, anomaly detection, and streamlined factory operations.
  3. Write robust, efficient, and maintainable code, actively participating in design discussions and code reviews to uphold strong engineering standards across the team.
  4. Independently own projects from prototype to production, ensuring new features launch successfully and seamlessly integrate with our wider developer infrastructure.
  5. Collaborate with cross-functional hardware and operations teams to translate complex manufacturing challenges into reliable, automated technical solutions.

Skills

Required

  • Software development in Java, Python, or TypeScript/JavaScript
  • Full-stack web application development
  • Frontend development with modern frameworks (e.g., Angular)
  • Backend services development

Nice to have

  • Master's degree in Computer Science
  • Designing, building, and deploying scalable Remote Procedure Call (RPC) backend services and APIs
  • Integrating Artificial Intelligence (AI) or Large Language Models (LLMs) into production applications or workflows
  • Familiarity with industrial automation, smart manufacturing processes, or analyzing data from hardware systems
  • Ability to own technical projects independently from prototype through to production and testing

What the JD emphasized

  • Integrate Artificial Intelligence (AI) or Large Language Models (LLMs) into production applications or workflows

Other signals

  • Integrate AI models into web platforms
  • Develop AI-driven features for smart manufacturing
  • Experience integrating AI or LLMs into production applications