Software Engineer Apps 5

Lam Research

Hybrid

Quick summary

Work type: Hybrid
Location: Fremont, CA
Salary: $141,000–$307,000 / yr
Posted: 102 days ago
Closes: Sep 2, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $176k

This role $224k

$118k most similar roles pay here $327k

This role pays more than 81% of similar roles. Most pay $138,062–$213,462 — the shaded band above. At the midpoint, this role pays about $224k versus about $176k 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.

Most-posted roles

View all roles at Lam Research

At a glance

TL;DR · Software Engineer Apps 5

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As a Senior Software Application Engineer at Lam Research’s Semiverse Solutions team, you will drive the evolution of our cutting-edge 3D modeling software by designing and building scalable microservices using Python and modern cloud patterns. You’ll architect systems with Kubernetes and container orchestration, implement event-driven processing pipelines, and optimize service APIs and data models for RDBMS and NoSQL databases. Your responsibilities include contributing to CI/CD processes, automated testing frameworks, and operational tooling while partnering with leadership to define long-term platform strategy. This role requires 10+ years of backend software engineering experience, including deep expertise in Python, Kubernetes, cloud computing platforms, and large-scale distributed systems.

Skills

Python Kubernetes AWS Azure Google Cloud PostgreSQL Redis MongoDB CI/CD RDBMS NoSQL Docker API design Event-driven architecture Container orchestration Infrastructure-as-code Message queues Streaming platforms Pub/sub systems

What you'll do

Analyze and design scalable microservices using Python and cloud patterns.
Architect systems with Kubernetes, container orchestration, and infrastructure-as-code.
Implement event-driven processing pipelines using messaging and streaming technologies.
Build and optimize service APIs and data pipelines for simulation orchestration.
Design data models and storage strategies using RDBMS and NoSQL databases.

What we're looking for

10+ years of backend software engineering experience, including senior-level roles.
Expertise in Python for distributed systems and cloud-native architectures.
Deep knowledge of Kubernetes, containerization, and modern cloud computing platforms.
Hands-on experience with RDBMS and NoSQL databases for data modeling and storage.
Proven ability to design and operate large-scale, production-grade distributed systems.
Strong skills in event-driven architecture using messaging, pub/sub, and streaming technologies.

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