Software Engineer, ML Networking at Anthropic

Seattle, Washington, United States

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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

Key technologies and capabilities for this role

TCP/IPXDPeBPFio_uringepollDPDKRDMAkernel bypassRustPCIeSmartNICsNUMAlock-free data structurescollectivesRPC

Questions & Answers

Common questions about this position

What is the salary range for the Software Engineer, ML Networking role?

The expected salary range is $315,000 - $425,000 USD annually.

What is the location and hybrid work policy?

The role follows a location-based hybrid policy where staff are expected to be in one of the offices at least 25% of the time, though some roles may require more.

What are the key required skills for this position?

Key skills include expert-level proficiency with network protocols, deep kernel networking (TCP/IP stack internals, XDP, eBPF, io_uring, epoll), user-space networking (DPDK, RDMA, kernel bypass), and strong programming in systems languages with memory management and optimization.

What is the company culture like at Anthropic?

Anthropic is a quickly growing team of committed researchers, engineers, policy experts, and business leaders working together to build safe, reliable, interpretable, and steerable AI systems that benefit users and society.

What makes a strong candidate for this role?

Strong candidates have 5+ years in systems or network programming, backgrounds in HPC, telecommunications, OS/kernel engineering, or embedded systems, plus experience with ML accelerators, PCIe drivers, SmartNICs, or designing network protocols.

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

Benefits

Flexible Work Hours

Paid Vacation

Parental Leave

Hybrid Work Options

Company Equity

Risks

Ongoing lawsuit with Concord Music Group could lead to financial liabilities.

Technological lag behind competitors like OpenAI may impact market position.

Reliance on substantial funding rounds may indicate financial instability.

Differentiation

Anthropic focuses on AI safety, contrasting with competitors' commercial priorities.

Claude, Anthropic's AI assistant, is designed for tasks of any scale.

Partnerships with tech giants like Panasonic and Amazon enhance Anthropic's strategic positioning.

Upsides

Anthropic's $60 billion valuation reflects strong investor confidence and growth potential.

Collaborations like the Umi app with Panasonic tap into the growing wellness AI market.

Focus on AI safety aligns with increasing industry emphasis on ethical AI development.

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