Software Engineer, ML Networking at Anthropic

Seattle, Washington, United States

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, TechnologyIndustries

Requirements

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
At least a Bachelor's degree in a related field or equivalent experience

Responsibilities

Writing and maintaining software that interfaces between accelerators and high-speed networks
Building and maintaining software that interacts with networks
Debugging and optimizing distributed software at the network level
Interfacing with hardware
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

Skills

TCP/IP

XDP

eBPF

io_uring

epoll

DPDK

RDMA

kernel bypass

Rust

PCIe

SmartNICs

NUMA

lock-free data structures

collectives

RPC

Anthropic

Develops reliable and interpretable AI systems

About Anthropic

Anthropic focuses on creating reliable and interpretable AI systems. Its main product, Claude, serves as an AI assistant that can manage tasks for clients across various industries. Claude utilizes advanced techniques in natural language processing, reinforcement learning, and code generation to perform its functions effectively. What sets Anthropic apart from its competitors is its emphasis on making AI systems that are not only powerful but also understandable and controllable by users. The company's goal is to enhance operational efficiency and improve decision-making for its clients through the deployment and licensing of its AI technologies.

San Francisco, CaliforniaHeadquarters

2021Year Founded

$11,482.1MTotal Funding

GROWTH_EQUITY_VCCompany Stage

Enterprise Software, AI & Machine LearningIndustries

1,001-5,000Employees