Software Engineer, Sandboxing (Systems)
Anthropic · San Francisco, CA | New York City, NY · Software Engineering - Infrastructure
About this role
Anthropic is hiring a mid-level Software Engineer based in San Francisco, CA | New York City, NY. The posting calls out experience with Rust, C, AWS, GCP. Compensation is listed at $300,000–$405,000 per year.
- Role
- Software Engineer
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- San Francisco, CA | New York City, NY
- Department
- Software Engineering - Infrastructure
More roles at Anthropic
Job description
from Anthropic careersAbout Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
Anthropic is seeking a Linux OS and System Programming Subject Matter Expert to join our Infrastructure team. In this role, you'll work on accelerating and optimizing our virtualization and VM workloads that power our AI infrastructure. Your expertise in low-level system programming, kernel optimization, and virtualization technologies will be crucial in ensuring Anthropic can scale our compute infrastructure efficiently and reliably for training and serving frontier AI models.
Responsibilities:
- Optimize our virtualization stack, improving performance, reliability, and efficiency of our VM environments
- Design and implement kernel modules, drivers, and system-level components to enhance our compute infrastructure
- Investigate and resolve performance bottlenecks in virtualized environments
- Collaborate with cloud engineering teams to optimize interactions between our workloads and underlying hardware
- Develop tooling for monitoring and improving virtualization performance
- Work with our ML engineers to understand their computational needs and optimize our systems accordingly
- Contribute to the design and implementation of our next-generation compute infrastructure