Senior Software Developer - Network and Collectives

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About This Role

  • About the team: Network and Collectives owns the scale-out communication substrate for our AI accelerator - the NCCL equivalent for our hardware.
  • We turn many chips into one machine: all-reduce, all-gather, reduce-scatter and point-to-point, made topology-aware and mapped onto the rack/pod interconnect.
  • We are measured on real fabric across a pod, not on a single card, and we pair tightly with the Tray/Rack/Pod/Cluster HW pillar and the Multi-Node Runtime team.
  • What you will do: Design and implement collective algorithms tuned to our interconnect topology and bandwidth/latency profile.
  • Build a topology-aware transport layer over the tray/rack/pod.
  • Optimize end-to-end collective performance across multi-node pods; profile, find bottlenecks, and close the gap to fabric peak.
  • Co-design with HW on interconnect features, and with Multi-Node Runtime on partitioning, overlap, and scheduling.
  • Own correctness and numerical determinism of reductions across scale-out.

Qualifications

  • 5+ years AI/Systems/HPC software in C++; strong concurrency and lock-free design.
  • Hands-on with collective libraries (NCCL/MPI/etc) or scale-out communication.
  • Working knowledge of the communication patterns behind tensor, pipeline, and expert parallelism, and how they map onto collectives and the underlying fabric.
  • Performance engineering: profiling, bandwidth/latency tuning, roofline reasoning.
  • Nice-to-have Topology/placement algorithms; congestion control; multi-tenant fabrics.
  • Large-scale distributed training/inference exposure.
  • Experience with large-scale inference serving stacks (vLLM, SGLang, TensorRT-LLM, DeepSeek).
  • RDMA/InfiniBand/RoCE, GPUDirect-style transfers, or comparable fabric experience.

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