Anthropic
About 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. Role Summary
A systems-level engineer specializing in network infrastructure and network optimization, with expertise in building and maintaining software that interacts with networks. You will be responsible for writing and maintaining software that interfaces between our accelerators and our high-speed networks. This role requires deep technical knowledge of network protocols, kernel-space and/or user-space networks, interfacing with hardware, and the ability to debug and optimize distributed software at the network level. You may be a good fit if you have:
Expert-level proficiency with network protocols and networking concepts Deep kernel networking: TCP/IP stack internals, XDP, eBPF, io_uring, and epoll 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 Low-Level Systems and OS Programming:
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 Strong candidates may have:
Understanding of ML accelerators and accelerator drivers Demonstrated ability to design new network protocols Experience with PCIe and drivers for PCIe devices Expertise in algorithms used in networking, including compression and graph algorithms Experience programming on SmartNICs 5+ years of experience in systems programming or network programming Often comes from backgrounds in: HPC, telecommunications, host networking software, OS/kernel engineering, or embedded systems Strong debugging mindset with patience for complex, multi-layered issues Representative Projects:
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 The expected salary range for this position is: $315,000 - $425,000 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 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 believe AI systems have enormous social and ethical implications, and we strive to include diverse perspectives on our team. How we\'re different
We believe the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on large-scale research efforts and value impact—advancing long-term goals of steerable, trustworthy AI—over smaller, isolated puzzles. We view AI research as an empirical science and value communication skills. We host frequent discussions to ensure we pursue the highest-impact work at any given time. The easiest way to understand our research directions is to read our recent research. This includes directions such as GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us!
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.
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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. Role Summary
A systems-level engineer specializing in network infrastructure and network optimization, with expertise in building and maintaining software that interacts with networks. You will be responsible for writing and maintaining software that interfaces between our accelerators and our high-speed networks. This role requires deep technical knowledge of network protocols, kernel-space and/or user-space networks, interfacing with hardware, and the ability to debug and optimize distributed software at the network level. You may be a good fit if you have:
Expert-level proficiency with network protocols and networking concepts Deep kernel networking: TCP/IP stack internals, XDP, eBPF, io_uring, and epoll 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 Low-Level Systems and OS Programming:
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 Strong candidates may have:
Understanding of ML accelerators and accelerator drivers Demonstrated ability to design new network protocols Experience with PCIe and drivers for PCIe devices Expertise in algorithms used in networking, including compression and graph algorithms Experience programming on SmartNICs 5+ years of experience in systems programming or network programming Often comes from backgrounds in: HPC, telecommunications, host networking software, OS/kernel engineering, or embedded systems Strong debugging mindset with patience for complex, multi-layered issues Representative Projects:
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 The expected salary range for this position is: $315,000 - $425,000 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 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 believe AI systems have enormous social and ethical implications, and we strive to include diverse perspectives on our team. How we\'re different
We believe the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on large-scale research efforts and value impact—advancing long-term goals of steerable, trustworthy AI—over smaller, isolated puzzles. We view AI research as an empirical science and value communication skills. We host frequent discussions to ensure we pursue the highest-impact work at any given time. The easiest way to understand our research directions is to read our recent research. This includes directions such as GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us!
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.
#J-18808-Ljbffr