Member Of Technical Staff at Thinking Machines Lab
San Francisco, California, United States
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Summary
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Rockstar
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Top School
Daniel Xu is a systems software engineer with 12 years of experience focused on Linux kernel, eBPF, and high-performance networking. He’s contributed to flagship open-source projects including the Linux kernel, Cilium’s ebpf-go, BCC, bpftrace, and libbpf-rs, improving runtime APIs, symbol handling, and tracing language features. Daniel has held senior kernel and dataplane roles at Meta and Aviatrix and now works on low-level systems at Thinking Machines Lab, blending production-grade engineering with research-minded tooling. He’s pragmatic about performance—adding context-aware APIs and allocation-avoiding paths—and also pays attention to observability and diagnostics, from log rotation to tracepoint ergonomics. Based in San Francisco, he pairs deep C/C++ and Rust systems expertise with an open-source ethos and a fondness for untangling kernel- and userspace-level complexity.
12 years of coding experience
8 years of employment as a software developer
BS Computer Science Communication, BS Computer Science Communication at University of Illinois Urbana-Champaign
Minimal and opinionated eBPF tooling for the Rust ecosystem
Role in this project:
Back-end Developer
Contributions:124 reviews, 288 commits, 150 PRs in 2 years 6 months
Contributions summary:Daniel primarily contributed to developing the `libbpf-rs` library, a minimal and opinionated eBPF tooling for the Rust ecosystem. Their work focused on establishing the crate structure, defining core object relationships such as programs and maps, and implementing essential APIs for interacting with BPF objects. They also added example code, implemented tests for their changes, and enhanced the documentation to improve the usability of the library.
Contributions:4 releases, 5 reviews, 187 commits in 3 years 2 months
Contributions summary:Daniel primarily focused on adding and modifying website and documentation files, including pages and site configuration. Their work involved copying existing documentation and setting up a basic structure for the website. Furthermore, the user implemented a functionality to reload tunables values on SIGUSR1. These contributions suggest a focus on maintaining and improving the project's website and overall structure.
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Daniel Xu - Member Of Technical Staff at Thinking Machines Lab