Be a technical leader, bringing vision to the integration of NVIDIA technology into AI and HPC architectures for advanced applications, such as agentic AI, autonomous labs or drug discovery. * Proven experience with Python and AI/ML frameworks (PyTorch, Langchain, or building custom framework) and application to scientific questions. * Experience developing, training and customizing Transformer models for healthcare and life sciences applications, especially using libraries like Transformer Engine or Megatron-LM. * Background with accelerating scientific algorithms using parallel programming (e.g., using CUDA), or experience with distributed programming models for supercomputing applications, AI deployment/inference technologies (e.g. TensorRT), cloud deployment (AWS, Azure) or optimization frameworks (e.g. cuOpt), is a plus. * Experience in the pharmaceutical industry or stablished thought leadership ...
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