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Software Engineer, Sandboxing (Systems)

AnthropicSan Francisco, CA | New York City, NY
On-site Full-time

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Qualifications

Proven experience in Linux kernel development, system programming, or similar low-level software engineering fields. Strong understanding of virtualization technologies (KVM, Xen, QEMU, etc.) and their performance implications. Demonstrated expertise in optimizing system performance for compute-intensive applications. Familiarity with contemporary CPU architectures and memory systems. Proficient in C/C++ programming, with additional experience in systems languages such as Rust being a plus. Comprehensive knowledge of Linux resource management, scheduling, and memory management techniques. Experience in profiling and debugging performance issues at the system level. Adept at navigating and understanding unfamiliar codebases and technologies.

About the job

About Anthropic

At Anthropic, our mission is to pioneer safe, interpretable, and controllable AI systems that enhance the well-being of users and society. Our rapidly expanding team comprises dedicated researchers, engineers, policy experts, and business leaders united in the pursuit of developing beneficial AI technologies.

We are looking for a highly skilled Linux OS and System Programming Specialist to join our Infrastructure team. In this pivotal role, you will focus on accelerating and fine-tuning our virtualization and VM workloads that are essential for our AI infrastructure. Your deep knowledge in low-level system programming, kernel optimization, and virtualization technologies will play a key role in scaling our compute infrastructure effectively and reliably for training and deploying cutting-edge AI models.

About Anthropic

Anthropic is at the forefront of AI research and development, striving to build systems that prioritize safety and user benefit. Our collaborative environment fosters innovation, where experts from diverse backgrounds come together to solve complex challenges in AI. Join us in shaping the future of AI with a focus on reliability, interpretability, and user-centric design.

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