Role Overview
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.
- The work environment is dynamic and challenging as our employees work on innovative, next-generation products at the forefront of technology in terms of performance, scalability, and features.
Company Culture
We thrive as a team in a deeply strong environment, and we're passionate about innovation.
The rewards are sweet and include working with some of the brightest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to collaborate on products that transform daily the way people work and play. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers.
Required Qualifications
- 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 Skills
- 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
