Join Anthropic as a Software Engineer specializing in ML Networking, focusing on network infrastructure and optimization.
Posted by employer 1 year ago
First seen on Joblaze 2 months ago
Last verified on the company career page 9 hours ago
Requirements
- Experience
- 5+ years
- Education
- Bachelor's degree
- Visa
- Sponsorship available
Benefits
Joblaze summary
In this role, the Software Engineer specializing in ML Networking at Anthropic will focus on developing and maintaining software that connects high-speed networks with AI accelerators. Key skills include deep knowledge of network protocols, kernel and user-space networking, and proficiency in systems programming languages. This position is ideal for experienced engineers with backgrounds in high-performance computing or telecommunications, who are adept at troubleshooting complex networking issues. Anthropic emphasizes collaboration and aims to advance impactful AI research through cohesive teamwork.
Joblaze insights
- Listed about 2 months ago — first seen on Joblaze August 5, 2026. Last confirmed on Anthropic's careers page October 9, 2026.
- Salary band is above the typical range for AI/ML roles (median ~$190,000).
- Starts above 64% of 11 comparable senior ai/ml roles in United States that list Rust we track (median $173,000 across 4 companies). See Rust salary trends
- Rust appears in 3.1% of 548 comparable senior ai/ml roles in United States; RDMA appears in 0.5% of 548 comparable senior ai/ml roles in United States.
Quick facts
- Is the Software Engineer, ML Networking role remote?
- It's hybrid — Anthropic expects some on-site time in San Francisco, CA | New York City, NY | Seattle, WA.
- What's the salary range?
- Anthropic lists $280,000–$850,000 for this role.
- How much experience is required?
- At least 5 years of relevant experience for this Software Engineer, ML Networking role.
- Where is the role based?
- Anthropic is hiring for this position in San Francisco, CA | New York City, NY | Seattle, WA.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: DPDK, RDMA, Rust, SmartNICs, TCP/IP, XDP.
- Does Anthropic sponsor work visas for this role?
- Yes — the posting indicates visa sponsorship is available for the right candidate.
- What seniority level is this role?
- Anthropic targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Software Engineer, ML Networking role at Anthropic.
From the original posting
About Anthropic
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:
Networking Systems Engineering:
- 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
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
- Debug kernel-level network latency spikes
The annual compensation range for this role is listed below.
Logistics
Standard company text repeated across Anthropic's postings is omitted here.