**Summary:** The Host Networking team is responsible for millions of NICs in the fleet that powers all of Meta’s services and applications as well as the transport software for Meta’s Training and Inference Accelerators. This Software Engineer will be working on NICs and Transport solution addressing growing demands of the distributed fleet of accelerators for our AI workloads. Do you want to work on transport for large scale AI clusters? Do you want to develop innovative solutions to our challenges and ship them into production? This role on our host networking teams is for you! **Required Skills:** Software Engineer - AI Transport Responsibilities: 1. Design and implement drivers (and/or Firmware) for (network) ethernet adapter functions, Transport stack for RDMA, control functions with the host/accelerators. 2. Build tests and help build an integrated CI/CD pipeline for delivery of software 3. Bringup the stack in simulation and emulation environments 4. Hardware bringup and test in a scaled environment **Minimum Qualifications:** Minimum Qualifications: 5. Proficient in programming in C/C++/Python 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 7. Experience with Linux Kernel, especially drivers and network stack 8. Working knowledge of transport stack particularly RDMA (RoCEv2) 9. Hands on experience with debugging large scale systems **Preferred Qualifications:** Preferred Qualifications: 10. Experience with Qemu, FPGA Emulation environment is a plus **Industry:** Internet