PhD Research Intern, Quantum Simulation and AI - 2027
Core
Research and develop creative algorithms and software systems for the quantum computing ecosystem, running large-scale experiments on GPU clusters.
Role type
PhD Research Intern, Quantum Simulation and AI
Builds
Quantum computing simulation software and algorithms
Domain
Quantum computing + AI/ML
Deliverable
research
Required skills
Linear algebra, Tensor algebraic methods, Python, CUDA, Machine learning frameworks (PyTorch, Tensorflow, JAX), Quantum Physics background
Preferred skills
Experience with automated proving for quantum systems, Experience with quantum inverse design
Technologies
Python, CUDA, PyTorch, Tensorflow, JAX, GPU clusters
Responsibilities
Research and develop innovative algorithms and software systems for quantum computing; Collaborate with research and product teams in machine learning, programming systems, and quantum computing; Publish and present original research at conferences; Run large-scale experiments on GPU clusters to advance quantum computing simulation.
Seniority
Intern, PhD candidate
