Software Engineer Sys 2 (Gen AI)

Lam Research; Fremont (CA); On-site; USD 86,000 - 183,000; Full time

Job summary

Lam Research is seeking a Software Engineer to join their Global Products Group in Fremont, CA. This role emphasizes design, development, and troubleshooting of software programs to support impactful AI-driven tools across the product portfolio.

The ideal candidate will hold a Master’s degree, have strong backend engineering skills, and be proficient in Docker, Kubernetes, and generative AI applications. This position offers a hybrid work model, allowing flexibility between onsite and remote work.

Qualifications

• Master's degree with two or more years of industry experience.
• Experience designing services, data models, and asynchronous processing systems.
• Hands-on experience with retrieval-augmented generation focusing on reliability and latency.

Responsibilities

• Design, develop, and optimize AI prompts and applications powered by LLMs.
• Collaborate with cross-functional teams to align AI systems with business objectives.
• Document technical architecture and methodologies for effective knowledge transfer.

Skills

Backend engineering foundation

Knowledge of Docker

Experience with Kubernetes

CI/CD pipelines

Generative AI applications

Vector databases

Retrieval-augmented generation

Prompt engineering

Scalable architectures

Education

Master's in computer science, computer engineering or related field

Tools

Docker

Kubernetes

Redis

Memcache

Job description

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, 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.

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.

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 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: $86,000.00 -$183,000.00.

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.