Software Engineer

Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world’s technology. What We Offer Location: Singapore,SGP You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits . As a Software Engineer at Applied Materials, you’ll dive deep into ground-breaking technologies—like machine learning and AI—to craft novel software solutions that solve our customers’ high-value problems. Our Software Engineers are responsible for designing, prototyping, developing, and debugging software solutions for semiconductor equipment components and devices to ensure quality and functionality. You'll develop software documentation and test procedures, troubleshoot software problems, and communicate with internal customers to understand project requirements. As part of our team, you'll contribute your expertise in intricate systems, deciphering code, and anticipating software behaviors to ensure Applied remains the leader in the semiconductor and display sectors. Role Summary We are developing a manufacturing data and applications platform to support digitalization and automation across the organization. The role begins with building the foundational data layer—designing databases, pipelines, and system integrations—and progressively expands into developing business logic, backend services, and user‑facing applications on a modern manufacturing app platform. This position is well‑suited to an engineer who has demonstrable experience delivering production web applications to internal users, is comfortable working close to operations, and is eager to grow into a full‑stack role spanning data engineering, backend/API development, and front‑end application development. Responsibilities 1) Data Foundations & Engineering • Design and evolve a maintainable relational or structured data model suitable for hierarchical manufacturing data. • Build and maintain data ingestion and transformation processes. • Establish reliable technical integrations with manufacturing applications, including: • Understanding source data structures and interfaces • Implementing stable connectors for recurring data acquisition • Handling schema or data format changes • Setting up integrity checks, alerting, and automated recovery 2) Backend & Business Logic Development • Develop backend services that implement core business logic for manufacturing business process flows. • Collaborate with solution and application developers to translate requirements into actionable business logic design for prototyping. • Build and maintain APIs or service endpoints used by downstream applications. • Create reusable software components for consistent data access, validation, and transformation. • Ensure backend components are secure, performant, and scalable. • Ensure audit trail functionalities for data transformation events. 3) Front-End / Application Development • Build user-facing applications on a modern manufacturing app platform software. • Integrate applications with backend services, connectors, and data sources. • Develop custom interface logic or extensions as needed. • Collaborate with manufacturing users to refine UI/UX and workflow behavior. 4) Quality, Reliability & Operational Excellence • Implement data quality checks such as referential integrity, anomaly detection, and completeness validation. • Build resilience mechanisms into pipelines and services, including: • Automated retries • Fallback strategies • Exception logging and diagnostics • Monitor application and pipeline performance, availability, and data freshness. • Produce QA summaries and reports for approval to Go Live. 5) Documentation & Engineering Practices • Maintain technical documentation and diagrams for data flows, integrations, system logic, and API specifications. • Participate in code reviews, testing, and continuous improvement of engineering standards. • Produce operational guides, runbooks, and troubleshooting procedures. Requirements Qualifications & Experience • Track record of building and maintaining in‑house, multi‑user, web‑based applications for internal stakeholders (e.g., portals, operational tools, or workflow apps). • Strong programming fundamentals with hands‑on experience in at least one general‑purpose language (e.g., Python, JavaScript/TypeScript, C#, or equivalent). • Solid SQL skills and practical experience designing or maintaining relational databases. • Experience developing APIs or backend services (authentication/authorization, data access patterns, performance). • Hands‑on experience integrating with external systems, databases, or APIs in a production environment. • Working knowledge of enterprise operational data concepts (e.g., data contracts, lineage, quality checks, scheduling, and monitoring)—even if not from an engineering/manufacturing domain. • UI/UX fundamentals sufficient to build intuitive, task‑oriented user interfaces and to iterate quickly with users (layout, usability, accessibility…