Software Engineer, ML Networking

About this role

About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.


Role Summary
A systems-level engineer specializing in network infrastructure and network optimization, with expertise in building and maintaining software that interacts with networks. You will be responsible for writing and maintaining software that interfaces between our accelerators and our high-speed networks. This role requires deep technical knowledge of network protocols, kernel-space and/or user-space networks, interfacing with hardware, and the ability to debug and optimize distributed software at the network level.


Networking Systems Engineering
You may be a good fit if you have:

• Expert-level proficiency with network protocols and networking concepts
• Deep kernel networking: TCP/IP stack internals, XDP, eBPF, io\_uring, and epoll
• User-space networking: DPDK, RDMA, kernel bypass techniques
• Understanding of how to build higher-level abstractions like collectives and RPC
• Skilled at diagnosing and resolving networking issues in distributed systems, especially at OSI model layers 2-4

Low-Level Systems And OS Programming

• Strong programming skills in a systems programming language, including memory management, lock-free data structures, and NUMA-aware programming
• Software, driver, and OS performance optimization tools and techniques
• Comfort with or desire to learn Rust

Strong Candidates May Have

• Understanding of ML accelerators and accelerator drivers
• Demonstrated ability to design new network protocols
• Experience with PCIe and drivers for PCIe devices
• Expertise in algorithms used in networking, including compression and graph algorithms
• Experience programming on Sma...