Senior Staff Software Engineer — AI-Driven, Global Impact

Intuit; Mountain View (CA); On-site; USD 221,000 - 299,000; Full time

Job summary

Intuit is seeking a Sr Staff Software Engineer in Mountain View to lead and accelerate large-scale AI-enabled product engineering. You will partner with product managers, designers, and other engineers to deliver durable, scalable software across cloud and on‑premise environments.

You will mentor teams, drive cross-functional initiatives, and shape technical direction with hands-on design and coding in modern stacks and AI tooling such as SageMaker, LangChain, and React/NodeJS.

Qualifications

• 8+ years of experience developing systems/software for large business environments.
• 5+ years of experience designing complex distributed systems, management products, or business applications.
• BS/MS in Computer Science or related area.
• Experience with cloud environments (AWS/GCP) and AI-native applications.

Responsibilities

• Drives velocity by accelerating customer, business, and technology outcomes across the company.
• Leads end-to-end technology initiatives, including horizontal architecture layers.
• Partners with cross-functional teams to design, develop, test, and release features.
• Creates durable, scalable, and secure software designs balancing short- and long-term goals.
• Applies knowledge of AI to build real-world solutions and evaluate AI tools and models.

Skills

Distributed systems design

Full-stack AI development

Team leadership

Cross-functional collaboration

Mentoring

Education

BS/MS in Computer Science

Tools

AWS

GCP

SageMaker

LangChain

React

Java

TypeScript

Job description

Intuit is seeking a Sr Staff Software Engineer in Mountain View to lead and accelerate large-scale AI-enabled product engineering. You will partner with product managers, designers, and other engineers to deliver durable, scalable software across cloud and on‑premise environments.

You will mentor teams, drive cross-functional initiatives, and shape technical direction with hands-on design and coding in modern stacks and AI tooling such as SageMaker, LangChain, and React/NodeJS.