Anthropic
Staff Systems Engineer, Agents Infrastructure
Get AI-powered advice on this job and more exclusive features. Overview
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 lead efforts to accelerate and optimize our virtualization and VM workloads that power our AI infrastructure. Your deep expertise in low-level system programming, kernel optimization, and virtualization technologies will be crucial in ensuring Anthropic is able to scale our compute infrastructure efficiently and reliably for training and serving frontier AI models. Responsibilities
Lead optimization initiatives for our virtualization stack, improving performance, reliability, and efficiency of our VM environments Design and implement custom kernel modules, drivers, and system-level components to enhance our compute infrastructure Troubleshoot complex performance bottlenecks in virtualized environments and develop solutions 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 Mentor other engineers on low-level systems programming and Linux kernel internals Partner closely with cloud providers to influence hardware and platform features for AI workloads You May Be a Good Fit If You
Have 5+ years of experience with Linux kernel development, system programming, or related low-level software engineering Possess deep understanding of virtualization technologies (KVM, Xen, QEMU, etc.) and their performance characteristics Have experience optimizing system performance for compute-intensive workloads Are familiar with modern CPU architectures and memory systems Have strong C/C++ programming skills and experience with systems languages like Rust Understand the intricacies of Linux resource management, scheduling, and memory management Have experience profiling and debugging complex system-level performance issues Are comfortable diving into unfamiliar codebases and technical domains Are results-oriented, with a bias towards practical solutions and measurable impact Care about the societal impacts of AI and are passionate about building safe, reliable systems Strong Candidates May Also Have Experience With
GPU virtualization and acceleration technologies Cloud infrastructure at scale (AWS, GCP) Container technologies and their underlying implementation (Docker, containerd, runc, OCI) eBPF programming and kernel tracing tools OS-level security hardening and isolation techniques Developing custom scheduling algorithms for specialized workloads Performance optimization for ML/AI specific workloads Network stack optimization and high-performance networking Experience with TPUs, custom ASICs, or other ML accelerators Representative Projects
Optimizing kernel parameters and VM configurations to reduce inference latency for large language models Implementing custom memory management schemes for large-scale distributed training Developing specialized I/O schedulers to prioritize ML workloads Creating lightweight virtualization solutions tailored for AI inference Building monitoring and instrumentation tools to identify system-level bottlenecks Enhancing communication between VMs for distributed training workloads Deadline to apply
Applications will be reviewed on a rolling basis. Annual Salary
The expected salary range for this position is: $320,000 - $485,000 USD Logistics
Education requirements:
We require at least a Bachelor\'s degree in a related field or equivalent experience. Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:
We do sponsor visas. If we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. We value diverse perspectives and strive for representation on our team. How We're Different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on a few large-scale research efforts. We value impact — advancing our long-term goals of steerable, trustworthy AI — and view AI research as an empirical science. We are highly collaborative and value communication skills. We encourage reading our recent research to understand our directions. Company Information
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a welcoming office space. Guidance on Candidates\' AI Usage:
Learn about our policy for using AI in our application process Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
Research Services Referrals increase your chances of interviewing at Anthropic by 2x Get notified about new Staff System Engineer jobs in
New York, NY .
#J-18808-Ljbffr
Get AI-powered advice on this job and more exclusive features. Overview
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 lead efforts to accelerate and optimize our virtualization and VM workloads that power our AI infrastructure. Your deep expertise in low-level system programming, kernel optimization, and virtualization technologies will be crucial in ensuring Anthropic is able to scale our compute infrastructure efficiently and reliably for training and serving frontier AI models. Responsibilities
Lead optimization initiatives for our virtualization stack, improving performance, reliability, and efficiency of our VM environments Design and implement custom kernel modules, drivers, and system-level components to enhance our compute infrastructure Troubleshoot complex performance bottlenecks in virtualized environments and develop solutions 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 Mentor other engineers on low-level systems programming and Linux kernel internals Partner closely with cloud providers to influence hardware and platform features for AI workloads You May Be a Good Fit If You
Have 5+ years of experience with Linux kernel development, system programming, or related low-level software engineering Possess deep understanding of virtualization technologies (KVM, Xen, QEMU, etc.) and their performance characteristics Have experience optimizing system performance for compute-intensive workloads Are familiar with modern CPU architectures and memory systems Have strong C/C++ programming skills and experience with systems languages like Rust Understand the intricacies of Linux resource management, scheduling, and memory management Have experience profiling and debugging complex system-level performance issues Are comfortable diving into unfamiliar codebases and technical domains Are results-oriented, with a bias towards practical solutions and measurable impact Care about the societal impacts of AI and are passionate about building safe, reliable systems Strong Candidates May Also Have Experience With
GPU virtualization and acceleration technologies Cloud infrastructure at scale (AWS, GCP) Container technologies and their underlying implementation (Docker, containerd, runc, OCI) eBPF programming and kernel tracing tools OS-level security hardening and isolation techniques Developing custom scheduling algorithms for specialized workloads Performance optimization for ML/AI specific workloads Network stack optimization and high-performance networking Experience with TPUs, custom ASICs, or other ML accelerators Representative Projects
Optimizing kernel parameters and VM configurations to reduce inference latency for large language models Implementing custom memory management schemes for large-scale distributed training Developing specialized I/O schedulers to prioritize ML workloads Creating lightweight virtualization solutions tailored for AI inference Building monitoring and instrumentation tools to identify system-level bottlenecks Enhancing communication between VMs for distributed training workloads Deadline to apply
Applications will be reviewed on a rolling basis. Annual Salary
The expected salary range for this position is: $320,000 - $485,000 USD Logistics
Education requirements:
We require at least a Bachelor\'s degree in a related field or equivalent experience. Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:
We do sponsor visas. If we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. We value diverse perspectives and strive for representation on our team. How We're Different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on a few large-scale research efforts. We value impact — advancing our long-term goals of steerable, trustworthy AI — and view AI research as an empirical science. We are highly collaborative and value communication skills. We encourage reading our recent research to understand our directions. Company Information
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a welcoming office space. Guidance on Candidates\' AI Usage:
Learn about our policy for using AI in our application process Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
Research Services Referrals increase your chances of interviewing at Anthropic by 2x Get notified about new Staff System Engineer jobs in
New York, NY .
#J-18808-Ljbffr