ML Networking Systems Engineer - High-Speed Networking

Anthropic

San Francisco (CA)

On-site

USD 280,000 - 850,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation
Equity donation matching
Generous vacation
Parental leave
Flexible working hours
Office space in SF

Job summary

Anthropic is seeking a systems-level engineer focused on network infrastructure to design, implement, and optimize software that interfaces our accelerators with high-speed networks. You will work on kernel- and user-space networking, debugging distributed systems and developing scalable network abstractions.

Ideal candidates have 5+ years in systems or network programming, strong knowledge of DPDK, XDP, eBPF, and PCIe drivers, and are comfortable with Rust.

Qualifications

  • Bachelor's degree or equivalent in a relevant field.
  • 5+ years of experience in systems or network programming.
  • Strong knowledge of kernel and user-space networking concepts.
  • Experience with network accelerators and drivers.
  • Familiarity with PCIe devices and related driver development.

Responsibilities

  • Write and maintain software interfacing accelerators with high-speed networks.
  • Debug and optimize distributed network software.
  • Develop kernel-space and/or user-space networking components.
  • Design new network protocols and abstractions for scalable systems.
  • Diagnose networking issues across OSI layers 2–4.

Skills

Networking protocols
Kernel networking
User-space networking
RPC/collectives
Distributed systems debugging
Systems programming
Memory management
Lock-free data structures
NUMA-aware programming
Rust interest

Education

Bachelor's degree in a relevant field

Tools

DPDK
RDMA
XDP
eBPF
io_uring
epoll
PCIe drivers
SmartNICs

Job description

Anthropic is seeking a systems-level engineer focused on network infrastructure to design, implement, and optimize software that interfaces our accelerators with high-speed networks. You will work on kernel- and user-space networking, debugging distributed systems and developing scalable network abstractions.

Ideal candidates have 5+ years in systems or network programming, strong knowledge of DPDK, XDP, eBPF, and PCIe drivers, and are comfortable with Rust.

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