> Markdown version of [/jobs/ext/4358794-system-engineer-cloudflare-hyperdrive](https://www.wearedevelopers.com/jobs/ext/4358794-system-engineer-cloudflare-hyperdrive). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # System Engineer, Cloudflare Hyperdrive - **Company:** CloudFlare - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Software Applications, Systems Engineering, C++ (Programming Language), Databases, Data Structures, Software Debugging, Software Design Documents, Linux, Distributed Systems, Payment Systems, Game Engine, High-Frequency Trading, Machine Learning, Object-Oriented Software Development, TypeScript, Web Applications, Web Traffics, Data Processing, Cloudflare - **Published:** October 31, 2026 - **Apply:** https://www.careerbuilder.com/job-details/system-engineer-cloudflare-hyperdrive-san-francisco-ca--bddfe63a-9f08-4b0b-804b-b1109d46db05 ## About the Role Systems Engineering, Blog, Entrepreneurship, Fortune 500 Customers, Website Traffic, Software Installation, Internet Application, Intelligent Network, Performance Management, Hardware Installation, * 5+ years experience working with distributed systems or developing on cloud platforms. * Experience managing high volume software applications. * Solid understanding of computer science fundamentals including data structures, algorithms, and object-oriented or functional design. * Knowledge of at least one modern strongly-typed programming language such as Go, Rust, or C++. * Strong expertise in Machine Learning, including experience with data processing and retrieval algorithms. Bonus Points * Familiarity with Vector Databases and associated Machine Learning Algorithms. * Experience working in low-latency real time environments such as game streaming, game engine architecture, high frequency trading, payment systems. * Experience debugging, optimizing and identifying failure modes in a large-scale Linux-based distributed system ## Description At Cloudflare, we're not looking for people who wait for a polished roadmap; we're looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you're the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you'll fit right in. Available Locations: Austin, TX | Hybrid About the Department Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a massively successful business, we are able to leverage them to deliver entirely new tools and products to our customers. Cloudflare's edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization. What you''ll do This is a newly found team focused on building out our brand-new vector database offering, designed to let you build full-stack, AI-powered applications entirely on Cloudflare's global network. In this role, you will work with a top-notch engineering team to expand Cloudflare''s capabilities by ensuring continual reliability, maintaining best-in-class performance, and implementing new features and functionality. You will own your code from inception to release, delivering solutions at all layers of the software stack to empower Cloudflare customers. On any given day, you might write a design document that outlines how you plan to solve a specific problem, modify how R2 Storage processes requests, or fix a bug in how our user experience renders. You can expect to interact with a variety of languages and technologies including, but not limited to Typescript, Go, Rust.