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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Full Stack Software Engineer, DesignX - **Company:** Tesla Motors - **Location:** Fremont, CA, United States - **Experience:** Experienced - **Salary:** $120,000.0 - $210,000.0 - **Contract:** Permanent contract - **Skills:** ASP.NET, JavaScript (Programming Language), .NET Framework, Application Programming Interfaces (APIs), HTML5, C Sharp (Programming Language), Cascading Style Sheets (CSS), Relational Databases, Entity Framework, PostgreSQL, Machine Learning, Microsoft SQL Server, Performance Tuning, Preprocessor, Software Tools, Azure Machine Learning, Responsive Web Design, Data Streaming, TypeScript, Web Performance Optimization, Web Usability, Network Routers, ReactJS, Backend, Build Management, Information Technology, Graphql, Machine Learning Operations, Tools for Reporting, React Redux, Restful APIs, Es2015, Web Api - **Published:** August 27, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/88160692/1 ## About the Role * Bachelor's Degree in Computer Science, or equivalent experience, with 2+ years in full stack web development building scalable, API-integrated (REST/GraphQL) applications * Strong TypeScript skills, including types, interfaces, generics, and advanced language features * Expertise in React (Hooks, component patterns, Redux/Context state management, React Router, performance optimization) and modern JavaScript (ES6+, async/await, promises) * Solid HTML/CSS foundation: semantic HTML5, Flexbox/Grid, responsive design, and CSS-in-JS or preprocessors * Proficiency in .NET (C#) backend development - ASP.NET Core, Web API design, and Entity Framework or similar ORM * Experience designing/consuming REST/GraphQL APIs and working with relational databases (SQL Server, PostgreSQL) and data modeling * Proven cross-functional collaboration with ML/data teams to integrate models and services into production applications * Comfort consuming and orchestrating ML inference endpoints and managing structured data flows between systems * Web performance optimization (Core Web Vitals, lazy loading) and ML lifecycle familiarity (enough to collaborate effectively with ML engineers) ## Description As a Full Stack Software Engineer on DesignX, you'll build the engineering tools that design engineers reach for every day-intuitive React frontends backed by robust .NET services, tightly integrated with Machine Learning so load analysis, design optimization, technology selection, and engineering specifications live in one unified platform. You'll sit with the DesignX team in Palo Alto, CA and partner closely with Machine Learning engineers to ship ML-powered capabilities that help engineers iterate faster, explore better options, and raise design quality. This is a chance to own product end-to-end, set a high bar for craft, and put powerful, data-driven tools directly into the hands of the people designing Tesla's future. What You'll Do * Full Stack Applications - Design and develop high-performance React/TypeScript frontends and .NET backend services supporting project management-oriented operations, architecting the highest-performing technical solutions from first principles * ML Platform Integration - Collaborate with Machine Learning engineers to integrate models and ML-driven features (e.g., predictive analytics, forecasting, anomaly detection) into a single cohesive platform-building the APIs, data flows, and UI surfaces that bring ML into the hands of users * APIs & Data - Design and build reliable RESTful/GraphQL APIs and data models in .NET that serve both application features and ML integrations with clean, well-structured data * Business Insight - Deeply understand business needs, how users perceive application use, and how tools and workflows should be used to provide Tesla the best value * Provide outstanding fast-response customer support, ensuring trust and reliability in applications is consistently improving and exceeding users' expectations * Develop and invent new ways to drive more efficient workflows within the business, constantly looking for ways to simplify and then automate * Critique and review organization-wide applications and data tools, providing tangible constructive feedback * Review end-to-end processes and internal team deployment workflows for improvements, and communicate impacts with quantifiable results for the business * Identify & action additional areas of opportunity and means for knowledge sharing across software, data, and ML-oriented teams ## Related Videos - [Build and Deploy a Fullstack App with Open Source Tooling](https://www.wearedevelopers.com/videos/775-build-and-deploy-a-fullstack-app-with-open-source-tooling) - [Web APIs you might not know about](https://www.wearedevelopers.com/videos/281-web-apis-you-might-not-know-about) - [The Resilience of the World Wide Web](https://www.wearedevelopers.com/videos/1281-the-resilience-of-the-world-wide-web) - [Meet Your New BFF: Backend to Frontend without the Duct Tape](https://www.wearedevelopers.com/videos/682-meet-your-new-bff-backend-to-frontend-without-the-duct-tape) - [Project Fugu: Extending the web](https://www.wearedevelopers.com/videos/832-project-fugu-extending-the-web) - [Can SVG be fast? 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