Software Engineer at Applied Materials

Santa Clara, California, United States -

Full Time

Start Date

Immediate

Expiry Date

07 Apr, 26

Salary

0.0

Posted On

07 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Application Development, Digital Tools, Software Solutions, APIs, Microservices, Cloud Platforms, Containerization, Databases, CI/CD, System Design, MCP, LLMs, Problem-Solving, Communication, Teamwork

Industry

Semiconductor Manufacturing

Description

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. 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. Contribute to CI/CD pipelines and DevOps practices for rapid deployment. Support troubleshooting and resolve production issues promptly. 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. Experience with MCP and integrating LLMs into applications for AI-driven insights. Bachelor's degree in Computer Science, Software Engineering, or related quantitative field. Master's degree is a plus. Excellent problem-solving and analytical skills. Strong communication and teamwork abilities.

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Responsibilities

Develop applications that streamline semiconductor process development and integrate data from various sources. Collaborate with engineers and product managers to align software solutions with development goals.