Software Engineer Sys 5

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 6, 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 and implement sophisticated architectural solutions for integrating LLM technology into business applications
• Develop complex multi-step agentic pipelines around open- and closed-source LLMs.
• Own infrastructure for model integration, routing, and evaluation.
• Build MCP Servers - ensure model governance, versioning, access control, and monitoring for production AI systems.
• Evaluate, prototype, and integrate the latest advancements in AI and agentic systems as they emerge.
• Collaborate closely with cross-functional teams including business leaders, engineers, architects, and designers to align AI systems with business objectives.

Minimum Qualifications:

• 7+ years of shipping production software, with a strong track record of owning features end-to-end
• Proven experience building AI agents, LLM-driven systems, or autonomous workflows with proper guardrails and evaluation mechanisms.
• Have practical AI systems experience with RAG, evals, monitoring, MCP/tool use, structured outputs, or multi-agent workflows
• Proven experience with LLM orchestration patterns and frameworks (Lang Graph, MCP, agent SDKs from major model providers).
• Foundational AI skills, including prompt engineering, model evaluation, agent orchestration, reasoning frameworks, and the ability to apply AI to improve engineering and operational outcomes.
• Familiarity with context management, session state, or memory systems in AI or distributed systems. You’ve thought about what the model sees and why it matters.
• A systems-thinking mindset that connects AI models, data pipelines, and operational workflows end-to-end.
• Strong communication skills with the ability to influence senior engineers and product leaders.
• A passion for how AI can unlock potential to help our teams, our customers, and our communities achieve great things.

• Familiarity with human-in-the-loop workflows, PEFT based fine-tuning, and…