Software Engineer Sys II

Lam Research

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Fremont, CA
Salary
$86,000–$183,000 / yr
Posted
3 days ago
Freshness
Confirmed live today
Closes
Mar 23, 2027

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $148k
This role $134k
$73k most similar roles pay here $207k

This role pays less than 71% of similar roles. Most pay $126,750–$169,112 — the shaded band above. At the midpoint, this role pays about $134k versus about $148k 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 314 open roles on FindRole.

Listed pay typically runs $114,000–$242,000 across 158 roles with salary data.

Most-posted roles

View all roles at Lam Research

At a glance

TL;DR · Software Engineer Sys II

Software Engineer Sys 2 joins the Global Products Group to design, develop, and troubleshoot software programs for etch and deposition products within the semiconductor industry. This role involves building tools for infrastructure and technology platforms while ensuring hardware compatibility through seamless integration. Key responsibilities include optimizing AI prompts, developing next-generation applications powered by Large Language Models, and implementing GenAI observability pipelines to track trace-level data and model latency. The candidate will manage both user experience and backend systems while collaborating with cross-functional teams to align AI systems with business objectives. Required technical skills include proficiency in Docker, Kubernetes, and CI/CD pipelines, alongside experience with vector databases like FAISS or Milvus, caching systems like Redis, and retrieval-augmented generation techniques. The role focuses on solving complex problems involving agent design, prompt engineering, and multi-step workflows to create practical AI solutions.

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 covering both user experience and backend systems.
  • Implement GenAI observability pipelines to track trace-level data, prompt inputs/outputs, and model latency.
  • Troubleshoot and resolve software issues during testing phases and in production environments.
  • Document technical architecture, methodologies, and innovations for knowledge transfer and advancement.
  • Conduct code reviews and provide expert guidance on enhancements and engineering standards.

What we're looking for

  • Master's degree in computer science, computer engineering, electronics, or a related field.
  • Two or more years of industry experience.
  • Strong backend engineering foundation including service design, data models, and asynchronous processing systems.
  • Strong knowledge of Docker, Kubernetes, and CI/CD pipelines.
  • Experience building prototypes or production applications utilizing generative AI.
  • Experience with vector databases (FAISS, Milvus, Weaviate) and caching systems (Redis, Memcache).
  • Hands-on experience with retrieval-augmented generation and context engineering for reliability, cost, and latency optimization.
  • Strong agent design skills including prompt engineering, tool use, multi-step workflows, and failure handling.

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