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Quantum Computing Research Scientist

QuantumLeap Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Shape the future of technology at QuantumLeap Innovations! We're seeking a visionary Quantum Computing Research Scientist to pioneer breakthroughs that will redefine industries by 2026. Join our elite team at our state-of-the-art San Francisco lab where you'll develop quantum algorithms, solve complex computational challenges, and collaborate with Nobel laureates and industry disruptors.

About QuantumLeap: We're accelerating the quantum revolution with $500M in funding from leading tech giants. Our work spans quantum cryptography, AI optimization, and material science simulations for Fortune 500 clients.

This hybrid role offers unparalleled resources: access to quantum hardware prototypes, flexible research budgets, and mentorship from quantum computing pioneers. Your innovations could power everything from drug discovery to climate modeling.

Responsibilities

  • Design and implement novel quantum algorithms for practical applications in finance, logistics, and AI
  • Lead quantum hardware-software integration projects with partner labs
  • Publish 2+ peer-reviewed papers annually in Nature/Science journals
  • Develop error-correction protocols to achieve quantum supremacy
  • Collaborate with AI teams to hybrid quantum-classical machine learning systems
  • Secure research partnerships with quantum hardware manufacturers
  • Mentor junior researchers and present findings at international conferences

Qualifications

  • PhD in Quantum Physics, Computer Science, or Mathematics (or equivalent experience)
  • 3+ years in quantum algorithm development or quantum information theory
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, PennyLane)
  • Published research in quantum computing or quantum machine learning
  • Expertise in Python, C++, and high-performance computing
  • Deep understanding of quantum error correction and fault tolerance
  • Experience with quantum hardware integration (IBM Quantum, Rigetti, IonQ)
  • Strong background in linear algebra, probability theory, and statistical mechanics

Required Skills

Quantum Computing Machine Learning Physics Mathematics Python C++ Quantum Algorithms Research Quantum Hardware Cryptography

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