Software Engineer Sys 3

Software & Controls

As a Software Engineer at Lam, you will play a critical role across the full software development lifecycle, applying your depth of technical expertise to design, develop, and sustain high quality software solutions. You will help shape and deliver cloud-based Big Data and Enterprise Analytics platforms that support Lam's products, infrastructure, and technology roadmap. You will help shape and deliver cloud-based Big Data and Enterprise Analytics platforms that support Lam's products, infrastructure, and technology roadmap.

In this role, you will collaborate closely with product and technical leads defining software requirements and scope, translating business needs into robust, scalable solutions. You will design, develop, and maintain cloud-based data pipelines and support infrastructure, delivering high performance, reliable, and maintainable software. You will do this while working within Lam's centralized software engineering team, collaborating with some of the brightest minds in the industry.

• Design, build, and maintain cloud-native software services and data pipelines that support Big Data and Enterprise Analytics solutions.
• Partner with product and technical leads to translate requirements into well-scoped designs, implementation plans, and deliverables.
• Implement new features and enhancements in existing applications and services with a focus on reliability, maintainability, and operational excellence.
• Troubleshoot, debug, and resolve issues across the stack, performing root-cause analysis and driving fixes to completion.
• Improve system performance through profiling, optimization, and effective use of concurrency and data-access patterns.
• Produce clear technical documentation and artifacts (design notes, flow diagrams, runbooks) to support development and ongoing operations.
• Collaborate with engineering teams through code reviews, testing, and continuous improvement to deliver high-quality software.

• Bachelor's degree in Computer Engineering or related field with 5+ years of experience; or Master's degree with 3+ years' experience; or a PhD with no previous professional experience; or equivalent experience.
• Experience with Python and Java.
• Excellent knowledge of object-oriented software design and implementation.
• Experience developing cloud-native applications and data pipelines on Azure, including event-driven, batch, and serverless architectures (e.g., Event Grid,
• Event Hub, Azure Functions, Azure Batch).
• Experience building and optimizing big data pipelines, including ingestion, transformation, and persistence using Azure Data Lake Storage (ADLS) and related analytics services.
• Experience developing enterprise analytics software on cloud infrastructure, including data processing, indexing, and query enablement (e.g., HDInsight, Azure AI Search, Azure SQL / Cosmos DB).
• Experience implementing distributed data processing systems, leveraging caching, orchestration, and background execution (e.g., FastAPI, Celery, Redis) to improve performance and scalability.
• Strong analytical, problem-solving, and troubleshooting skills.
• Excellent verbal and written communication skills.
• Ability to work and thrive in a fast-paced environment, learn rapidly, and master diverse technologies and techniques.

• Familiarity with lakehouse table formats (e.g., Iceberg) and columnar storage (e.g., Parquet).
• Working knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes).
• Experience with stream processing technologies (e.g., Apache Kafka, Spark Streaming) in enterprise analytics environments.
• Familiarity with CI/CD and software development lifecycle tooling (e.g., Azure DevOps, Git, Jira, Confluence, Maven, Jenkins).
• Experience working in Agile Scrum teams, contributing to sprint planning, execution, and continuous improvement.
• Solid understanding of computer system architecture fundamentals (processes, memory, storage, networking) and their impact on large-scale data processing.
• Experience in the semiconductor equipment manufacturing industry is a plus.

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. 'Virtual Flex' you'll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.