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Network Optimization Engineer
3 weeks ago
TuriyamAI is pioneering GenAI semiconductor solutions. Our breakthrough solutions redefine the future of AI computing, driving efficiency, performance, and accessibility for enterprises worldwide.
We seek an experienced engineer to join our AI accelerator communications SW team to build hyper-optimized cluster networking solutions. You will contribute to architecture and design of our networking and collective communication software.
The ideal candidate must be passionate about optimizing networking and communication performance at scale.
- Design collective communication software libraries in C++, assembly, Python for datacenter AI.
- Stay up-to-date with bleeding-edge collective algorithms for a wide variety of network topologies to implement in our communication libraries.
- Collaborate with hardware and software architects and system engineers to hyper-optimize AI systems deployment.
Key Requirements:
- Bachelor's or Master's or Ph.D. degree in Computer Science, Engineering, or a related field.
- 3+ years' experience developing hyper-optimized model C++ code.
- Experience with one or more of the following: Implementing communication middleware like MPI/SHMEM, Development and optimization of communication collective algorithms (e.g. AllReduce, AllGather, Scatter, Gather, etc.), Implementing lower-level communication frameworks like UCX and libfabric, or development using RDMA APIs, Experience with GPU collective libraries like NCCL, GPU optimized MPI, etc.
PREFERRED QUALIFICATIONS / EXPERIENCE:
- Experience developing communication algorithms for large-scale CPU/GPU/accelerator clusters is a big plus.
