Software Engineer, ML Networking

About the role

We are seeking a systems-level engineer specializing in network infrastructure and network optimization, with expertise in building and maintaining software that interacts with networks. You will write and maintain 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.

Qualifications

• Expert-level proficiency with network protocols and networking concepts
• Deep kernel networking: TCP/IP stack internals, XDP, eBPF, io_uring, and epoll
• User-space networking: DPDK, RDMA, kernel bypass techniques
• 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
• 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

Nice-to-have skills

• 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
• Backgrounds in: HPC, telecommunications, host networking software, OS/kernel engineering, or embedded systems
• Strong debugging mindset with patience for complex, multi-layered issues

Responsibilities

• Build a system for accelerator-initiated tensor movement over the network
• Benchmark software for a new networking environment
• Implement new collective algorithms to improve latency
• Optimize congestion control algorithms for large-scale synchronous workloads
• Debug kernel-level network latency spikes

Pay

Annual Salary: $280,000—$850,000 USD

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. Some roles may require more time in our offices.
• Visa sponsorship: We sponsor visas and retain an immigration lawyer to assist with the process.

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.

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, valuing impact and communication skills. Our research continues many of the directions our team worked on prior to Anthropic, including GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

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 collaborative office space.