Quick summary
- Work type
- Hybrid
- Location
- —
- Salary
- $141,000–$307,000 / yr
- Posted
- 60 days ago
Market check
Salary context
How this pay compares to similar roles
This role pays more than 72% of similar roles. Most pay $162,000–$234,150 — the shaded band above. At the midpoint, this role pays about $224k 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 379 open roles on FindRole.
Listed pay typically runs $105,000–$231,000 across 186 roles with salary data.
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- Careers 126
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At a glance
TL;DR · Careers
As a Senior Software Engineer at Lam, you will join our centralized software engineering team, contributing to the development of AI-driven applications across our extensive product portfolio. Your day-to-day responsibilities include designing and optimizing next-generation applications powered by Large Language Models (LLMs), developing comprehensive observability pipelines for trace-level data tracking, and collaborating with cross-functional teams to align AI systems with business goals. You will also support troubleshooting in production environments, conduct code reviews, and ensure adherence to engineering standards. The ideal candidate holds a Master’s degree and has extensive experience in backend engineering, Docker, Kubernetes, CI/CD pipelines, vector databases, caching systems, and retrieval-augmented generation techniques. Familiarity with human-in-the-loop workflows, reinforcement learning, and AI tracing tools is also beneficial, as you will be working on cutting-edge solutions that require a deep understanding of complex technical ideas and scalable architectures.
Skills
What you'll do
- Design and develop AI prompts and next-generation applications using Large Language Models.
- 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 at least 7 years of industry experience.
- Expertise in backend engineering, including service design, data models, and asynchronous processing systems.
- Proficiency with Docker, Kubernetes, CI/CD pipelines, and vector databases like FAISS.
- Experience building AI prototypes or production applications using generative AI technologies.
- Strong skills in retrieval-augmented generation, context engineering, and agent design for reliability optimization.
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