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Quantum Computing Research Scientist

QuantumLeap Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join QuantumLeap Innovations at the forefront of technological revolution as we pioneer quantum computing solutions that will redefine industries by 2026. We seek visionary Quantum Computing Research Scientists to develop breakthrough algorithms and hardware architectures. Our state-of-the-art lab in San Francisco offers unparalleled resources and collaborative opportunities with Nobel laureates and industry pioneers. This role empowers you to shape the future of computation while working on projects with global impact.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop error-corrected qubit systems using superconducting and photonic platforms
  • Collaborate with hardware teams to translate theoretical models into scalable quantum processors
  • Lead research initiatives in quantum machine learning applications
  • Publish findings in top-tier journals and present at international conferences
  • Secure and manage research funding through government and industry partnerships
  • Mentor junior researchers and cross-functional engineering teams

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum computing specialization
  • 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, Q#)
  • Published research in quantum algorithms or quantum error correction
  • Expertise in quantum hardware platforms (superconducting circuits, trapped ions, or photonics)
  • Strong background in linear algebra, quantum mechanics, and computational complexity
  • Proven ability to secure research grants and manage large-scale projects
  • Experience with high-performance computing and parallel programming

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Superconducting Circuits Quantum Error Correction Machine Learning Research Leadership High-Performance Computing

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