Senior Software Engineer

Applied Materials•Santa Clara, CA

5d•$152,000 - $208,500

About The Position

Applied Materials is seeking an experienced Senior Software Engineer to design and develop scalable, high-performance software solutions for complex, data-intensive applications. This is a hands-on engineering role spanning distributed systems, large-scale data processing, databases, microservices, and modern software architectures, with opportunities to influence architecture and solve challenging problems across the software stack. The role involves building and maintaining production-quality software and solutions for data processing, storage, distribution, and visualization. The engineer will collaborate with multidisciplinary and globally distributed teams, participate in architecture and code reviews, and provide technical guidance and mentorship when appropriate. The position is based in Santa Clara, California, and requires travel 10% of the time. Relocation is eligible.

Requirements

Strong experience in several of the following: C++, Java, or C#; microservices and distributed systems; multithreading, concurrency, and performance optimization; Apache Spark, Kafka, or similar data-processing technologies; PostgreSQL, MongoDB, or comparable database technologies; Windows and Linux; React and/or Angular; REST APIs and service-oriented architectures; CI/CD, automated testing, monitoring, and diagnostics.
BS/MS or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, or a related technical discipline.
At least 7 years building production software, including large-scale or data-intensive systems, with an MS; 10 years with a BS; or 5 years with a Ph.D.

Nice To Haves

Experience developing large-scale distributed systems or data-intensive applications.
Strong software architecture and system-design skills.
Experience with performance optimization and complex system troubleshooting.
Experience with containerization and modern deployment technologies.
Experience working with globally distributed engineering teams.
Domain knowledge or prior experience in semiconductor inspection, semiconductor manufacturing, or related semiconductor technologies.

Responsibilities

Design, develop, and maintain scalable, production-quality software.
Build solutions for large-scale data processing, storage, distribution, and visualization.
Design microservices, APIs, and distributed applications.
Develop efficient data-processing pipelines for compute- and data-intensive workloads.
Work across Windows and Linux environments.
Optimize software for performance, scalability, reliability, and maintainability.
Diagnose complex problems across applications, services, databases, networking, and infrastructure.
Participate in architecture, design, and code reviews.
Collaborate with multidisciplinary and globally distributed engineering teams.
Provide technical guidance and mentorship when appropriate.