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# Sr. Software QA Engineer, Factory Software

- **Company:** Tesla Motors
- **Location:** Fremont, CA, United States
- **Experience:** Expert
- **Salary:** $144,000.0 - $216,000.0
- **Contract:** Permanent contract
- **Skills:** Testing (Software), Application Programming Interfaces (APIs), Automation of Tests, Browser Compatibility, C Sharp (Programming Language), Databases, Continuous Integration, Data Integrity, Mobile Application Software, Apache JMeter, Python (Programming Language), NoSQL, Next.js, Selenium, SQL Databases, Software Testing Automation Framework, Test Execution Engine, Strategies of Testing, TypeScript, Rust (Programming Language), Scripting, ReactJS, Delivery Pipeline, Large Language Models, Cypress (Programming Language), Backend, Agentic-AI, Event Driven Architecture, AngularJS, Information Technology, Playwright, Graphql, Front End Software Development, Restful APIs, Grpc, Selenium Webdriver, Api Management
- **Published:** October 15, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/86820028/1

## About the Role

* Degree in Computer Science, or related, or equivalent experience
 * Software testing experience with strong expertise in both manual and automation testing
 * Proficiency in test automation frameworks and scripting (Playwright, Cypress, Selenium WebDriver, Python, JMeter, or equivalent)
 * Experience building reusable, maintainable test frameworks for both UI and API layers
 * Solid understanding of CI/CD pipelines and how to integrate automated test suites into rapid deployment workflows
 * Experience testing event-driven architectures, APIs (REST, gRPC, GraphQL), and distributed backend systems
 * Familiarity with SI/LLM-based systems - ability to design test strategies for agentic workflows, prompt-based features, and non-deterministic outputs
 * Strong database skills - ability to write queries, validate data integrity, and test against SQL and NoSQL datastores
 * Thrive in a fast-paced, high-autonomy environment where you ship often and own quality outcomes
 * Clear communicator who works well across engineering, product, and operations teams

## Description

Tesla's Factory Software team builds the systems that keep our factories running - equipment management, maintenance operations, real-time IoT, construction planning, and supply chain automation across every gigafactory worldwide. The software we ship runs on factory floors, drives real-time decisions, and directly impacts production output. Quality isn't optional here - when things break, factories feel it.

You'll own quality end-to-end across our platform: building test automation frameworks, driving CI/CD pipeline reliability, and ensuring that every release - from backend APIs to SI-powered agents - works under real manufacturing conditions. You'll work directly with engineers and factory operations to catch problems before they hit production and build the tooling that makes the entire team ship faster with confidence.

This is not a typical QA role. This is protecting the nervous system of Tesla's manufacturing operations - and your work will directly build a world of amazing abundance.
What You'll Do

 * Design and execute end-to-end functional, integration, and automated testing across web and mobile applications that support factory operations
 * Build and maintain reusable test frameworks for UI and API testing (Playwright, Cypress, Selenium) with emphasis on long-term maintainability and scalability
 * Develop and execute automation strategy across backend services (Go, Rust, C#, TypeScript), frontend (React, Angular, Next.js), and SI-powered workflows
 * Set up and maintain CI/CD test pipelines for continuous test execution, reporting, and fast feedback loops
 * Perform cross-browser, accessibility, internationalization, performance, and security testing across the platform
 * Validate SI agent behavior and LLM-based automation workflows - ensuring agentic systems produce correct, reliable outputs
 * Collaborate directly with engineers, product managers, and factory operations teams to define quality standards and prioritize testing efforts
 * Analyze complex failures, identify root causes, and drive resolution - turning production issues into automated regression coverage