Join the AI networking acceleration team to work on a groundbreaking open-source library utilizing hardware offloads, GPU Kernels, and RDMA network cards. The product is a performance-oriented low-level infrastructure designed to change the way inference works. The work environment is dynamic and challenging, focusing on innovative, next-generation products at the forefront of technology in performance, scalability, and features.
Tasks
- Developing a highly optimized inference framework
- Working on products that run on the world’s largest supercomputers and data centers
- Collaborating on products that transform the way people work and play
Requirements
- B.Sc. or equivalent experience in Computer Science or Software Engineering
- 8 years’ experience in modern C++ / C / Rust development
- 3 years’ 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
- Hands-on experience with LLM inference stacks
- Expertise in distributed storage technologies
- Background in Linux internals and low-level software optimizations (benchmarking, bottleneck research, performance tuning)
- Experience in programming CUDA kernels is an advantage
- Background in parallel programming, high-performance computing, or RDMA technology
Benefits
- Highly competitive salaries
- Comprehensive benefits package
- Aggressive compensation plan that rewards top performers
- Opportunity to work with some of the brightest people in the industry
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Über uns
Das Team
The AI networking acceleration team thrives in a strong environment and is passionate about innovation. The elite engineering teams are fast-growing and include some of the smartest engineers in the world.