ExecutivePlacements.com
Software Engineer, ML Networking
ExecutivePlacements.com, San Francisco, California, United States, 94199
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
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 Expected Salary Range For This Position Is Annual Salary: $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 are willing to sponsor visas. We will make every reasonable effort to obtain a visa if you are offered a position.
We encourage you to apply even if you do not meet every single qualification. We strive to include a diverse range of perspectives on our team.
#J-18808-Ljbffr
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
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 Expected Salary Range For This Position Is Annual Salary: $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 are willing to sponsor visas. We will make every reasonable effort to obtain a visa if you are offered a position.
We encourage you to apply even if you do not meet every single qualification. We strive to include a diverse range of perspectives on our team.
#J-18808-Ljbffr