2027 Quantum Applied Science Internship, Quantum Technologies team
Core
Develop and implement novel, scalable solutions to advance the state-of-the-art in quantum computing, focusing on highly targeted customer use-cases.
Role type
PhD-level Applied Science Intern (Quantum Computing)
Builds
Fault-tolerant quantum computer components and research prototypes
Domain
Quantum Computing / Applied Physics / Hardware Engineering
Required skills
Quantum mechanics theory, experimental physics, computational modeling, programming in Python/C++, quantum algorithms implementation
Preferred skills
Superconducting qubits, cavity/circuit QED, quantum optics, quantum error correction, electromagnetic simulations, control hardware systems, AI-assisted development tools
Technologies
Qiskit, Cirq, NumPy, SciPy, Python, C++, AI-powered tools
Responsibilities
Tackle groundbreaking research problems, work with leading edge technology, implement algorithms using quantum computing toolkits, leverage AI tools to accelerate research and prototyping
Seniority
Intern, PhD candidate