Software Engineer, ML Networking

San Francisco, CAfull timeOn Site

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mid

$280k–$850k

H1B: yes

Anthropic Software Engineer, ML Networking specializes in network infrastructure and optimization, writing software interfacing accelerators with high-speed networks. The role requires expertise in network protocols, kernel and user-space networking, and debugging distributed network software.

Responsibilities

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
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
Understanding of ML accelerators and accelerator drivers
Demonstrated ability to design new network protocols

Qualification

Experience programming on SmartNICsOften comes from backgrounds in

Required

Experience with PCIe and drivers for PCIe devices
Expertise in algorithms used in networking, including compression and graph algorithms
Experience programming on SmartNICs
5+ years of experience in systems programming or network programming
Often comes from backgrounds in: HPC, telecommunications, host networking software, OS/kernel engineering, or embedded systems
Strong debugging mindset with patience for complex, multi-layered issues
Build a system for accelerator-initiated tensor movement over the network
Benchmark software for a new networking environment
Implement a new collective algorithm to improve latency
Optimize congestion control algorithms for large-scale synchronous workloads
Debug kernel-level network latency spikes

Preferred

Understanding of ML accelerators and accelerator drivers
Experience designing new network protocols
Experience with PCIe and drivers for PCIe devices
Expertise in networking algorithms including compression and graph algorithms
Experience programming on SmartNICs

Benefits

Equity/RSU
Parental Leave

Company

Anthropic

View company page

501-1000 employees

Artificial Intelligence

Founded 2021

Source: greenhouse

Active within the past hour

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