About The Position

NVIDIA Research is searching for a world-class new college grad PhD researcher to work at the intersection of AI, Quantum Computing, and GPU computing. You will expand AI efforts in quantum computation and develop improved algorithms for simulating quantum systems. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you! What you'll be doing: Training AI models for inference on quantum systems, hardware, and control. Contribute to novel research advancing the state-of-the-art in quantum simulation, both approximate and exact. Collaborate on the development of research prototypes, paving the way for future GPU-accelerated quantum tools. Work on the cutting edge of advancing GPUs as research tools for the quantum sciences. Publish and present your original research, speak at conferences and events Collaborate with external researchers and a diverse set of internal product teams.

Requirements

  • PhD Degree in relevant discipline(s) (Physics, CS, Math) or equivalent experience
  • Strong programming ability: Python, C++, PyTorch, JAX, and/or CUDA
  • Publications on AI for quantum science and/or accelerated quantum simulations
  • Excellent self-motivation, a high degree of creativity, and a passion for research, collaboration skills and the ability to work effectively within a research team.
  • Strong written and verbal communication skills, with proven experience communicating technical work (e.g., academic presentations, poster sessions); ability to synthesize and explain complex technical concepts.

Responsibilities

  • Training AI models for inference on quantum systems, hardware, and control.
  • Contribute to novel research advancing the state-of-the-art in quantum simulation, both approximate and exact.
  • Collaborate on the development of research prototypes, paving the way for future GPU-accelerated quantum tools.
  • Work on the cutting edge of advancing GPUs as research tools for the quantum sciences.
  • Publish and present your original research, speak at conferences and events
  • Collaborate with external researchers and a diverse set of internal product teams.

Benefits

  • You will also be eligible for equity and benefits.
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