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.
- 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 (LangGraph, 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.
- Prior semiconductor equipment experience.
- Familiarity with human-in-the-loop workflows, PEFT based fine-tuning, and LLM evaluation techniques.
- Familiarity with AI safety, guardrails, monitoring, and responsible deployment practices
- Proficiency with AI tracing and evaluation tools such as LangSmith to monitor hallucinations, latency, and tokenomics.
- Understanding of reinforcement learning, including RLHF, RLAIF, offline and online RL, safety-aware reward design, and feedback loops.
- Expertise in AI evaluation platforms, synthetic data generation, model-based judges, or red-teaming.
- Experience building and shipping multi-model AI systems in production.
- Experience operating in regulated environments. Solid grasp of security fundamentals - encryption, access controls, audit logging, secrets management.
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.
Salary
CA San Francisco Bay Area Salary Range for this position: $141,000.00 - $307,000.00.
The above salary range for this position is relevant to applicants that reside or work onsite in the California, San Francisco Bay Area only. Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role. Actual salary may vary from salary offered due to numerous factors including but not limited to unpaid time off, unpaid leave, company mandated shutdown, and other relevant factors.
Our Perks and Benefits
At Lam, our people make amazing things possible. That’s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.
Skills Required
- 7+ years of shipping production software and owning features end-to-end
- Experience building AI agents, LLM-driven systems, or autonomous workflows with guardrails and evaluation mechanisms
- Practical experience with RAG, evaluations, monitoring, MCP/tool use, structured outputs, or multi-agent workflows
- Experience with LLM orchestration patterns and frameworks such as LangGraph, MCP, or major model-provider agent SDKs
- Foundational AI skills in prompt engineering, model evaluation, agent orchestration, reasoning frameworks, and applying AI to engineering or operational outcomes
- Familiarity with context management, session state, or memory systems in AI or distributed systems
- Systems-thinking ability connecting AI models, data pipelines, and operational workflows end-to-end
- Strong communication skills and ability to influence senior engineers and product leaders
- Prior semiconductor equipment experience
- Familiarity with human-in-the-loop workflows, PEFT fine-tuning, and LLM evaluation techniques
- Familiarity with AI safety, guardrails, monitoring, and responsible deployment practices
- Proficiency with AI tracing and evaluation tools such as LangSmith
- Understanding of reinforcement learning, including RLHF, RLAIF, offline and online reinforcement learning, safety-aware reward design, and feedback loops
- Expertise in AI evaluation platforms, synthetic data generation, model-based judges, or red-teaming
- Experience building and shipping multi-model AI systems in production
- Experience operating in regulated environments
- Understanding of security fundamentals, including encryption, access controls, audit logging, and secrets management
Lam Research Corporation Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lam Research Corporation and has not been reviewed or approved by Lam Research Corporation.
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Parental & Family Support — Parental leave is described as 16 weeks fully paid for all new parents, with birth mothers averaging about 26 weeks total; adoption assistance and subsidized backup childcare are also included. These programs are consistently highlighted as standout elements of the package.
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Healthcare Strength — Medical options span PPO, CDHP, and HMO choices with company HSA funding, alongside dental and vision coverage. Coverage quality and breadth are emphasized, supported by wellbeing resources such as an EAP.
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Equity Value & Accessibility — An ESPP with a discount and look-back/reset features is highlighted, and many technical roles include RSUs and bonuses that lift total compensation. These equity mechanisms are frequently cited as meaningful components of total rewards.
Lam Research Corporation Insights
What We Do
Lam Research Corp. (NASDAQ:LRCX) is a global supplier of innovative wafer fabrication equipment and services to the semiconductor industry. The world's leading companies trust us as their valued partner because we bring together technology leadership, a strong values-based culture, and an unwavering commitment to prove our customers’ next big breakthrough. Our impact on the world can be seen all around us, as nearly every advanced chip today is built with our technology. Through collaboration, precision, and our commitment to delivery, we are transforming atomic-scale engineering and driving semiconductor breakthroughs that define the next generation. Lam Research Social Media Guidelines: By using or accessing this page, you agree to comply with LinkedIn’s Terms and Conditions. While we welcome participation and engagement, it is important to note that postings and/or comments by followers to Lam’s LinkedIn page do not necessarily reflect the opinions of Lam, nor does Lam confirm their accuracy. We expect that participants post content and commentary that is both relevant and respectful to this community as a whole. Lam reserves the right to remove any posts and/or comments that do not adhere to our guidelines and to block anyone who violates them repeatedly. Specifically, we do not tolerate these kinds of posts: • Abusive, harassing, stalking, threatening or attacking others • Defamatory, offensive, obscene, vulgar or depicting violence • Hateful in language targeting race/ethnicity, religion, gender, nationality or political beliefs • Fraudulent, deceptive, misleading or unlawful • Violations of any intellectual property rights • Spamming in nature • Commercial solicitation or solicitation of donations • Link baiting (embedding a link in your post to draw traffic to your own site) View Lam’s Online Privacy Notice Summary : https://www.lamresearch.com/privacy/
