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Quantum Computing Research Scientist

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

Job Description

Join QuantumLeap Innovations at the forefront of technological disruption as we pioneer the next generation of quantum computing solutions. We're seeking a visionary Quantum Computing Research Scientist to architect breakthrough algorithms and systems that will redefine computational capabilities by 2026. In this role, you'll collaborate with Nobel Prize-winning physicists and world-class engineers to develop scalable quantum processors, error-corrected architectures, and hybrid quantum-classical frameworks. Our state-of-the-art lab in San Francisco offers unparalleled resources, including access to IBM Quantum and Google Quantum AI systems. If you're passionate about solving humanity's most complex challenges—from drug discovery to climate modeling—and want to shape the technological landscape of tomorrow, this is your opportunity.

Responsibilities

  • Design and implement novel quantum algorithms for optimization, simulation, and machine learning applications
  • Develop error mitigation techniques and fault-tolerant quantum computing architectures
  • Lead cross-functional teams in building hybrid quantum-classical workflows
  • Publish research in top-tier journals (Nature, Science, Physical Review X) and present at conferences
  • Collaborate with industry partners to commercialize quantum computing breakthroughs
  • Secure research grants from NSF, DoE, and private foundations
  • Mentor PhD researchers and contribute to our patent portfolio

Qualifications

  • PhD in Physics, Computer Science, Electrical Engineering, or related field with quantum computing specialization
  • 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, Q#)
  • Expertise in quantum error correction, superconducting qubits, or topological quantum computing
  • Publication record in quantum information science or high-impact computing journals
  • Strong background in machine learning and classical optimization algorithms
  • Experience with quantum hardware platforms (IBM Quantum Experience, Rigetti Forest, D-Wave)
  • Proven ability to secure competitive research funding
  • Excellent communication skills for technical and non-technical audiences

Required Skills

Quantum Computing Qiskit Cirq Q# Machine Learning Quantum Error Correction Superconducting Qubits Quantum Algorithms Research Grants Fault-Tolerant Computing

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