Software Engineer Sys 2

The group you’ll be a part of

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. 

The impact you’ll make

As a Software Engineer at Lam, you will be at the forefront of innovation by designing, developing, 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.

What you’ll do

• 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.

Who we’re looking for

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.

Preferred qualifications

Our commitment

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 custom