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Senior Software Engineer, LLM Inference

NVIDIA·ישראל·
במקום העבודהמשרה מלאהAI EngineeringComputer Hardware Manufacturing

Develop and optimize production-grade LLM inference software, GPU kernels, and distributed systems across data center and edge hardware platforms.

תחומי אחריות

  • Implement and optimize inference algorithms for LLM and multimodal architectures
  • Profile inference pipelines and correlate simulation results with real hardware performance
  • Write and tune CUDA and Triton GPU kernels for inference operators
  • Solve distributed inference challenges involving parallelism, communication, and multi-node deployment
  • Build production software in open-source inference libraries and runtimes
  • Own optimization features from scoping through delivery while collaborating across research, product, and engineering teams

דרישות

  • B.Sc., M.Sc., or equivalent experience in Computer Science, Computer Engineering, or a related technical field
  • At least 5 years of hands-on software engineering experience in performance-critical systems
  • Understanding of deep learning architectures, including Transformers, SSMs, and mixture-of-experts models
  • Experience with GPU programming, memory hierarchy, networking, or distributed computing
  • Experience optimizing deep learning workloads on NVIDIA GPUs using profiling and tracing tools
  • Strong software engineering fundamentals, including clean design, extensibility, and testability

יתרון

  • Contributions to open-source inference runtimes such as vLLM, SGLang, FlashInfer, or Dynamo
  • Experience with LLM quantization, mixed precision, and numerical tradeoffs
  • Distributed inference at scale, including tensor, pipeline, or expert parallelism
  • Knowledge of emerging LLM architectures and state-space mechanisms
  • Experience with performance modeling and simulation-to-hardware correlation

רלוונטיות

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