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Quantum Computing Research Scientist

FutureTech Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join FutureTech Innovations at the forefront of technological disruption as we pioneer quantum computing solutions for 2026 and beyond. We're seeking visionary Quantum Computing Research Scientists to develop next-generation algorithms and hardware interfaces that will redefine industries. Our state-of-the-art labs in San Francisco offer unparalleled resources to explore quantum supremacy, error correction, and practical applications in cryptography, materials science, and AI optimization. Work alongside Nobel laureates and collaborate with Fortune 500 partners deploying our breakthrough technology.

Responsibilities

  • Design and implement quantum algorithms for practical industrial applications
  • Lead quantum hardware interface development with superconducting qubits and photonic systems
  • Publish breakthrough research in Nature/Science journals and present at IEEE Quantum Week
  • Mentor cross-functional teams in quantum-classical hybrid computing architectures
  • Secure $5M+ in government grants and industry partnerships
  • Develop error mitigation protocols for near-term quantum processors
  • Translate theoretical models into production-ready quantum software stacks

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years industry experience
  • Published research in quantum error correction or topological qubits
  • Proficiency in Qiskit, Cirq, or quantum circuit optimization frameworks
  • Experience with cryogenic quantum hardware or photonic quantum systems
  • Demonstrated ability to secure NSF or DARPA quantum research grants
  • Expertise in high-performance computing (HPC) integration with quantum systems
  • Strong background in machine learning for quantum state tomography

Required Skills

Quantum Computing Quantum Algorithms Superconducting Qubits Error Correction Qiskit Cirq Cryogenic Engineering Quantum Machine Learning High-Performance Computing

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