Quick summary
- Work type
- Hybrid
- Location
- San Francisco, CA
- Salary
- $86,000–$183,000 / yr
- Posted
- 122 days ago
- Closes
- Aug 11, 2026
- Nearby
- 99+ roles within 25 mi
Market check
Salary context
How this pay compares to similar roles
This role pays less than 91% of similar roles. Most pay $162,000–$234,150 — the shaded band above. At the midpoint, this role pays about $134k versus about $198k for comparable roles.
Based on 240 similar postings.
Employer
About Lam Research
Lam Research Corporation is a leading American supplier of wafer-fabrication equipment and services to the global semiconductor industry.
Lam Research currently has 376 open roles on FindRole.
Listed pay typically runs $105,000–$231,000 across 184 roles with salary data.
Most-posted roles
- Careers 128
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At a glance
TL;DR · Careers
As a Software Engineer at Lam, you will join the centralized software engineering team to design, develop, and optimize AI-driven applications across the company’s extensive product portfolio. Your day-to-day responsibilities include creating comprehensive observability pipelines for tracking model performance, collaborating with cross-functional teams to align AI systems with business goals, and conducting thorough code reviews to ensure adherence to engineering standards. You will leverage Docker, Kubernetes, and CI/CD pipelines while working on vector databases like FAISS and caching systems such as Redis. Additionally, you must have experience in retrieval-augmented generation techniques and prompt engineering for reliable, cost-effective solutions. This role requires a Master’s degree in computer science or related field with at least two years of industry experience, emphasizing backend engineering skills and expertise in AI application development.
Skills
What you'll do
- Design and develop AI prompts and next-generation applications using Large Language Models (LLMs).
- Implement comprehensive observability pipelines for tracking trace-level data in GenAI systems.
- Support troubleshooting and issue resolution during testing and production phases.
- Conduct thorough code reviews to ensure adherence to engineering standards and best practices.
- Document technical architecture, methodologies, and innovations for knowledge transfer.
- Collaborate with cross-functional teams to align AI systems with business objectives.
What we're looking for
- Master’s degree in computer science or related field with 2+ years of industry experience.
- Expertise in backend engineering, including service design, data models, and asynchronous processing.
- Proficiency in Docker, Kubernetes, CI/CD pipelines, and vector databases like FAISS.
- Experience building prototypes or production applications using generative AI technologies.
- Hands-on skills in retrieval-augmented generation, context engineering, and prompt engineering.
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