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Anthropic

Software Engineer, Systems - Claude Code

Anthropic

Published 15 May 2026
San Francisco, CA, USA
320K - 485K USD Annual
Full Time

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Role Highlights

Languages used

JavaScript
C++
Rust

Key skills

Computer Science
AI
Security
Reliability
Kernel
Interfaces
Startup
Compilers
Research
Physics
Biology
Interpretability
Multimodal

Tools, Libraries and Frameworks

LOOP
Flow
SDK
Linux
HTTP

Description

The role involves designing, building, and optimizing core systems within the Bun runtime and Claude Code. The engineer will focus on improving performance by reducing memory usage, latency, and startup times across the stack. Responsibilities include investigating performance issues from the kernel interface up to the agent layer. The position requires collaboration with researchers and product engineers to ensure model capabilities translate into a reliable developer experience. Additionally, the role contributes to the Agent SDK and other internal projects by maintaining and enhancing foundational tools.

Required Qualifications and Skills

Candidates must possess at least five years of professional experience and a strong background in C, C++, and Rust. Deep expertise in systems programming, including Linux internals, manual memory management, and performance engineering, is required. Experience working with language runtimes, compilers, or JavaScript engines is also necessary. A bachelor's degree or an equivalent combination of education, training, and experience is the minimum educational requirement.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Anthropic

Size

265

Public/Private

Privately Held

Description

Anthropic is an AI safety and research company focused on crafting AI systems that are reliable, interpretable, and steerable, ensuring they remain safe and beneficial for users and society. With an interdisciplinary team experienced in machine learning, physics, policy, business, and product development, Anthropic is dedicated to the mission of beneficial AI. The company emphasizes collaborative big science research, leveraging a unified team approach to focus on large-scale research efforts aimed at advancing long-term goals of creating trustworthy AI systems.

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