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NVNVIDIA

HPC and AI Software Architect(m/w/x)

Zürich
VollzeitVor OrtBerufserfahren
AI/ML

Optimizing distributed AI training and inference systems, enhancing communication libraries (NCCL, UCX, UCC) and co-designing hardware for data movement acceleration for AI/VR solutions. Ph.D. or equivalent industry experience in computer science, with 2+ years in high-performance data movement or distributed computing, required. Direct impact on groundbreaking AI/VR/Autonomous Vehicle solutions.

Anforderungen

  • Ph.D. or equivalent industry experience in computer science, computer engineering, or a closely related field
  • 2+ years of experience in systems programming, parallel or distributed computing, or high-performance data movement
  • Strong programming background in C++, Python, and ideally CUDA or other GPU programming models
  • Practical experience with AI frameworks (e.g., PyTorch, TensorFlow) and familiarity with communication libraries
  • Experience in designing or optimizing software for high-throughput, low-latency systems
  • Strong collaboration skills in a multi-national, interdisciplinary environment
  • Expertise with NCCL, Gloo, UCX, or similar libraries used in distributed AI workloads
  • Background in networking and communication protocols, RDMA, collective communications, or accelerator-aware networking
  • Deep understanding of large model training, inference serving at scale, and associated communication bottlenecks
  • Knowledge of quantization, tensor/activation fusion, or memory optimization for inference
  • Familiarity with infrastructure for deployment of LLMs or transformer-based models, including sharding, pipelining, or hybrid parallelism

Aufgaben

  • Design and prototype scalable software systems for distributed AI training and inference
  • Optimize throughput, latency, and memory efficiency
  • Develop and evaluate enhancements to communication libraries like NCCL, UCX, and UCC
  • Collaborate with AI framework teams to improve communication backend integration and performance
  • Co-design hardware features to accelerate data movement for inference and model serving
  • Contribute to the evolution of runtime systems and AI-specific protocol layers

Berufserfahrung

  • 2 Jahre

Ausbildung

  • Doktor / Ph.D.

Sprachen

  • Englischverhandlungssicher

Tools & Technologien

  • C++
  • Python
  • CUDA
  • PyTorch
  • TensorFlow
  • NCCL
  • Gloo
  • UCX
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