Software Engineer Sys 2 (Gen AI)

Lam Research•Fremont, CA

1d•$86,000 - $183,000•Hybrid

About The Position

In the Global Products Group, we are dedicated to excellence in the design and engineering of Lam's etch and deposition products. We drive innovation to ensure our cutting-edge solutions are helping to solve the biggest challenges in the semiconductor industry. As a Software Engineer at Lam, you will be at the forefront of innovation by designing, developing, and troubleshooting, and debugging software programs. Your role is pivotal in developing software tools that support design, infrastructure, and technology platforms. Your expertise will determine hardware compatibility and influence design, ensuring seamless integration between software and hardware. In this role, you’ll make an impact across Lam’s entire product portfolio of equipment working within our centralized software engineering team, collaborating with some of the brightest minds in the industry.

Requirements

Master’s in computer science, computer engineering, electronics, or a related field with two or more years of industry experience.
Strong backend engineering foundation, including experience designing services, data models, and asynchronous processing systems.
Strong knowledge of Docker, Kubernetes, and CI/CD pipelines.
Experience building prototypes or production applications that utilize generative AI.
Experience with vector databases such as FAISS, Milvus, or Weaviate, and caching systems such as Redis or Memcache
Hands-on experience with retrieval-augmented generation (indexing, chunking, embeddings, reranking) and context engineering focusing on reliability, cost, and latency optimization.
Strong agent design skills, including prompt engineering, tool use, multi-step agent workflows such as ReAct, and failure handling.
A passion for turning cutting-edge AI into practical, high-impact solutions.
Ability to translate complex technical ideas into scalable architectures.

Responsibilities

Design, develop, and optimize AI prompts and next-generation applications powered by Large Language Models (LLMs).
Develop application and component strategies, overseeing both user experience and backend systems.
Implement comprehensive GenAI observability pipelines to track trace-level data, prompt inputs and outputs, and model latency.
Collaborate closely with cross-functional teams including business leaders, engineers, architects, and designers to align AI systems with business objectives.
Support troubleshooting and issue resolution during testing phases as well as in production environments.
Document technical architecture, methodologies, and innovations for effective knowledge transfer and ongoing advancement.
Conduct thorough code reviews, provide expert guidance on enhancements and issue resolution, and ensure adherence to engineering standards.