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Quantum Computing Research Scientist

QuantumLeap Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join QuantumLeap Innovations at the forefront of technological revolution. We're pioneering quantum computing solutions that will redefine industries by 2026. As a Quantum Computing Research Scientist, you'll collaborate with Nobel laureates and industry disruptors to develop next-gen quantum algorithms and hardware prototypes. Our state-of-the-art lab in San Francisco offers unparalleled resources, including access to 128-qubit processors and cryogenic systems. We provide comprehensive benefits including equity, flexible remote work options, and dedicated R&D funding. Shape the future of computation and solve humanity's most complex challenges.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop error-correction protocols for fault-tolerant quantum systems
  • Collaborate with hardware teams to validate quantum processor performance metrics
  • Lead cross-functional projects integrating quantum solutions with AI frameworks
  • Publish breakthrough research in top-tier journals and conferences
  • Mentor junior researchers and drive innovation in quantum security protocols

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Published research in quantum error correction or algorithm development
  • Proficiency in Python, C++, and low-level quantum hardware interfacing
  • Demonstrated ability to work with complex quantum systems under 10mK conditions
  • Strong background in linear algebra, information theory, and computational complexity
  • Experience securing $500k+ in research grants or corporate funding

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Error Correction Cryogenics Python C++ Quantum Hardware Information Theory

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