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Quantum Computing Research Scientist

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join QuantumLeap Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Research Scientist to develop groundbreaking algorithms and applications that will redefine computing paradigms. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art San Francisco lab, where your work will directly shape the future of AI, cryptography, and complex system modeling. This role offers unparalleled resources, flexible hybrid work arrangements, and the opportunity to publish breakthrough research in top-tier journals.

Responsibilities

  • Design and implement novel quantum algorithms for machine learning and optimization problems
  • Lead cross-functional teams to develop quantum hardware-software interfaces
  • Conduct cutting-edge research in quantum error correction and fault tolerance
  • Develop simulation frameworks for quantum systems on classical supercomputers
  • Secure and manage multi-million dollar research grants from government and industry partners
  • Mentor PhD candidates and publish 3+ high-impact papers annually
  • Collaborate with product teams to translate research into commercial applications

Qualifications

  • PhD in Quantum Physics, Computer Science, or Electrical Engineering with 3+ years postdoc experience
  • Expertise in quantum programming languages (Qiskit, Cirq, Q#) and quantum circuit design
  • Proven track record of publishing in Nature/Science or IEEE journals
  • Deep understanding of quantum decoherence and error correction protocols
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
  • Strong background in linear algebra and complex analysis
  • Ability to secure research funding through NSF/DARPA proposals

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Q# Research Machine Learning Cryptography Superconducting Qubits Error Correction

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