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# Staff Software Engineer, AI-Accelerated Digital Commerce

- **Company:** General Motors
- **Location:** Sunnyvale, CA, United States
- **Experience:** Expert
- **Salary:** $160,200.0 - $246,300.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Code Review, Software Debugging, DevOps, Node.Js, Next.js, Shopify, Software Engineering, Strategies of Testing, Web Applications, Web Platforms, ReactJS, Codebase
- **Published:** July 20, 2026
- **Apply:** https://generalmotors.wd5.myworkdayjobs.com/Careers_GM/job/Sunnyvale-California-United-States-of-America/Staff-Software-Engineer--AI-Accelerated-Digital-Commerce_JR-202614244

## About the Role

* At least 8-10 years of strong coding, debugging, and code review skills with the credibility to lead through technical depth
 * 7+ years API and system design capability with sound tradeoff judgment
 * Practical use of AI across coding, testing, debugging, documentation, and understanding existing codebases, APIs, architecture, and technical documentation
 * Ability to use AI with structured engineering practices such as specs, reviews, tests, and observability
 * Hands-on experience across relevant technologies such as React, Next.js, Node.js, Java, and modern web application architecture
 * Strong engineering excellence in test automation, operational automation, and DevOps practices
 * Ability to balance performance, reliability, maintainability, and cost while improving team delivery

What Will Give You A Competitive Edge (Preferred Qualifications)

 * Experience in digital commerce or other customer-facing digital platforms
 * Experience in areas such as qualification, checkout, billing, payments, subscriptions, orders, catalog, cart, or customer account flows
 * Exposure to commerce platforms or vendors such as Shopify or similar ecosystems
 * Exposure to technologies or patterns such as Model Context Protocol (MCP), LangChain, retrieval-augmented generation (RAG) patterns, vector databases, AI agents, or evaluation frameworks
 * Experience helping teams experiment with and adopt newer AI development workflows without overengineering the solution

## Description

This role is categorized as hybrid. This means the successful candidate is expected to report to Austin, TX, Warren, MI, Sunnyvale, CA, or Mountainview, CA, three times per week, at minimum.

About the team
Our team builds the digital commerce experiences that support how customers discover, buy, subscribe to, and manage GM products and services. We work across qualification, catalog, cart, checkout, billing, payments, subscriptions, orders, and customer account journeys, partnering closely with product, design, architecture, and operations teams to deliver reliable, scalable experiences. We are looking for engineers who pair strong software fundamentals with practical AI-assisted development habits to move faster, raise quality, and help the broader team work better., We are hiring a Staff Software Engineer with demonstrated ability to use AI as a force multiplier for software development in digital commerce environments. This role is ideal for a highly technical engineering leader who can use AI-assisted workflows to improve delivery speed and quality, shape reliable low-latency services and architectures, and raise team productivity through stronger engineering practices, reusable patterns, and technical leadership., * Lead the design and evolution of customer-facing digital commerce systems across areas such as qualification, checkout, billing, payments, subscriptions, catalog, cart, orders, and customer account journeys

 * Use AI-assisted workflows to accelerate implementation, code review, testing, debugging, and documentation, while setting the standard for safe and effective adoption
 * Evaluate AI output for correctness, security, maintainability, and production readiness, and help teams apply strong judgment in where AI adds value
 * Drive architecture and API decisions across modern web applications and services built with technologies such as React, Next.js, Node.js, Java, and related frameworks
 * Improve engineering excellence through stronger design reviews, testing strategy, automation, observability, and DevOps practices
 * Build reusable workflows, patterns, and guidance that improve productivity across engineers and teams
 * Partner across product, design, architecture, platform, and operations to align technical direction with business priorities
 * Coach engineers and influence technical execution beyond direct code contributions


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