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Quantum Computing Research Scientist

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

Job Description

Shape the future of technology with QuantumLeap Innovations, a pioneer in quantum computing breakthroughs. We're seeking visionary Research Scientists to develop next-generation quantum algorithms and systems that will redefine computing by 2026. Join our interdisciplinary team at our state-of-the-art San Francisco lab and contribute to projects with global impact.

Why QuantumLeap? We offer competitive compensation, flexible work arrangements, and unparalleled opportunities to work alongside Nobel laureates and industry disruptors. Our commitment to innovation is matched only by our dedication to your professional growth.

Responsibilities

  • Design and implement novel quantum algorithms for optimization, cryptography, and machine learning applications
  • Lead experimental validation of quantum systems using superconducting qubits and photonic processors
  • Collaborate with hardware teams to co-design quantum error correction protocols
  • Publish high-impact research in leading journals and present at international conferences
  • Secure external funding through NSF and DARPA grants
  • Mentor junior researchers and drive cross-functional innovation workshops

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum computing focus
  • 3+ years of hands-on experience with quantum programming languages (Q#, Qiskit)
  • Published research in top-tier quantum computing or condensed matter physics journals
  • Expertise in quantum error correction and fault-tolerant architectures
  • Proficiency with Python/C++ and high-performance computing environments
  • Demonstrated ability to secure competitive research grants
  • Strong background in linear algebra and quantum information theory

Required Skills

Quantum Computing Qiskit Q# Superconducting Qubits Quantum Error Correction Python C++ Linear Algebra Research Grants Machine Learning

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