About the job
We are looking for an enthusiastic software engineer to join our AI networking acceleration team, to work on a groundbreaking open-source library, using hardware offloads, GPU Kernels and RDMA network cards. Our product is a performance-oriented low-level infrastructure, crafted to change the way inference works.
Responsibilities
Developing a highly optimized inference framework
Running on the world’s largest supercomputers and data centers.
Qualifications
Minimum
B.Sc. or equivalent experience in Computer Science or Software Engineering
6+ years of experience in modern C++ / C / Rust development
3 years of experience in Linux environment and familiarity with development tools
Deep knowledge of the TCP/IP network stack
Understanding of computer architecture and operating systems concepts
Preferred
Background in Linux internals and low-level software optimizations (benchmarking, bottleneck research, performance tuning)
Experience in programming CUDA kernels is an advantage
Familiarity with ML frameworks and LLMs
Background in parallel programming / high-performance computing / RDMA technology