דרושים»תוכנה» GPU Communication - Team Lead

לפני 5 דקות חברה חסויה Location: Job Type: We are seeking an experienced technical leader to head our collective communication library development team. This role involves leading a team of engineers in developing high-performance collective communication implementations for multi-NPU and multi-node AI workloads. Key Responsibilities Lead the design and development of collective communication primitives (All-Reduce, All-to-All, Gather/Scatter and etc) Architect scalable communication protocols for multi-NPU and multi-node systems Optimize communication performance for NPU architectures Provide technical leadership to the team members in NPU programming, distributed systems, and communication protocols Work with a success-driven worldwide international team (Network, NPU, QA, AI, DL/ML Framework) Define project milestones, deliverables, and technical roadmaps Ensure compatibility with major AI frameworks (PyTorch, TensorFlow, JAX).Requirements: BSc/MSc in computer science/computer engineering or equivalent 8+ years of experience in systems programming and distributed computing 5+ years of leadership experience managing technical teams Expert-level C/C++ programming with focus on performance optimization Experience with NPU programming (Triton / CUDA / HIP / OpenCL) Deep understanding of distributed systems, communication protocols, and network programming Experience with DL/ML frameworks (PyTorch, TensorFlow) and distributed training / inferencing Experience with performance profiling and optimization tools Strong communication and interpersonal skills Preferred Qualifications Experience with NPU communication library development Contributions to open-source projects (PyTorch, TensorFlow, communication libraries) Familiarity with containerization and orchestration Interoperability experience with partners, vendors and external teams.This position is open to all candidates. Hide