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Architect of High-Performance Cluster Networking Solutions

2 weeks ago


Bengaluru, Karnataka, India beBeeCommunications Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Title: Communication Libraries Engineer

We are seeking an experienced individual to join our AI accelerator communications SW team to build hyper-optimized cluster networking solutions.

Key Responsibilities:
  • Design collective communication software libraries in C++, assembly, Python for datacenter AI.
  • Stay abreast of bleeding edge collective algorithms for wide variety of network topologies to implement in our communication libraries.
  • Help to hyper-optimize distributed computing algorithms, including compute communication overlap.
  • Analyse communication bottlenecks for AI workloads and guide better system design.
  • Collaborate with hardware and software architects and system engineers to hyper-optimize our AI systems deployment.
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.
  • Experience in software performance evaluations, optimizations and debugging.
  • Excellent problem-solving skills and the ability to work independently as well as part of a fast paced team in a startup environment.
  • Strong communication skills to effectively convey technical concepts to non-technical stakeholders.
Preferred Qualifications / Experience:
  • Experience developing communication algorithms for large scale CPU/GPU/accelerator clusters is a big plus.
  • Experience architecting and developing communication software solutions for AI accelerators using RDMA and proprietary communication fabrics, from device drivers through OS layers to applications and AI/ML frameworks.
  • Familiarity with Python programming and PyTorch is a plus.
Benefits:
  • Competitive salary and benefits package.
  • Opportunity to work on cutting-edge AI technology.
  • Collaborative, dynamic and inclusive work environment.
  • Professional growth and development opportunities.