Software Engineer

Applied MaterialsSanta Clara, CA
27d

About The Position

Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world. 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 Overview We are seeking a skilled Software Engineer to design and develop digital tools and applications that accelerate semiconductor process development. This role combines strong software engineering expertise with an understanding of manufacturing workflows, enabling faster innovation and improved efficiency in advanced semiconductor technologies.

Requirements

  • 3+ years of experience in application development, preferably in semiconductor or data intensive domains.
  • Proven track record of building and deploying enterprise-grade applications.
  • Proficiency in programming languages (e.g., Python, JavaScript)
  • Experience with frontend web frameworks. (React)
  • Strong understanding of RESTful APIs and microservices architecture.
  • Familiarity with cloud platform (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
  • Knowledge of relational and NoSQL databases.
  • Experience with CI/CD tools.
  • High and Low level System Design is desired.
  • Bachelor’s degree in Computer Science, Software Engineering, or related quantitative field.

Nice To Haves

  • Understanding of semiconductor process workflows and data systems.
  • Experience with MCP and integrating LLMs into applications for AI-driven insights.
  • Knowledge of data analytics, image processing, and process control systems.
  • Knowledge on OS and distributed computing.
  • Master’s degree is a plus.

Responsibilities

  • Application Development for Semiconductor Process Development
  • Design and implement digital tools that streamline and accelerate semiconductor process development.
  • Build applications that integrate data from multiple and varied data sources from the semiconductor ecosystem.
  • Develop scalable, secure, and high-performance software solutions tailored for manufacturing environments.
  • Create modular, maintainable architectures for enterprise and SaaS platforms.
  • Implement APIs and integrate with existing manufacturing systems and data pipelines.
  • Explore integration of Model Context Protocol (MCP) and Large Language Models (LLMs) for AI-driven process optimization.
  • Optimize applications for speed, scalability, and compliance with industry standards.
  • Collaboration
  • Work closely with semiconductor process engineers, algorithm developers, and product managers to align software solutions with process development goals.
  • Participate in code reviews and contribute to best practices.
  • Collaborate across global teams and time zones.
  • Stay updated on emerging technologies in semiconductor manufacturing and software development.
  • Contribute to CI/CD pipelines and DevOps practices for rapid deployment.
  • Support troubleshooting and resolve production issues promptly.
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