About
AnthropicAnthropic · San Francisco/New York City/Seattle · Hybrid
Software Engineer, ML Networking
24.9.2025
Qualifications
- 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
- 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
Benefits
$315,000 - $560,000 USD