Software Engineer Sys 2 (Gen AI

In your career, let’s prove what’s possible.

At Lam Research, we create equipment that drives technological advancements in the semiconductor industry. Our innovative solutions enable chipmakers to power progress in nearly all aspects of modern life, and it takes each member of our team to make it possible.

Across our organization, our employees come to work and change the world. We take on the toughest challenges with precision and accuracy. We push for the next big semiconductor breakthrough. We lead the way in one of the most critical and fast-moving industries on the planet. And we do it together, with deep connections and limitless collaboration.

The impact we have on the world is made possible by focusing on our people. So we recognize and celebrate our teams’ achievements. We strive to create an inclusive and diverse culture where everyone’s contribution and voice has value. We evaluate and evolve our offerings, so our people receive the support and empowerment to do meaningful things for their lives, careers, and communities.

Because at Lam, we believe that when people are the priority and they’re inspired to unleash the power of innovation for a better world together, anything is possible.

Date:
Jul 25, 2026

Location:

Fremont, CA, US, 94538

Worker Category:
On-site Flex

In the Global Products Group, we are dedicated to excellence in the design and engineering ofLam'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.

• 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.

Minimum Qualifications:

• 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.

We believe…