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Quantum Computing Research Scientist

Quantum Dynamics Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Quantum Dynamics Inc. at the forefront of technological revolution as we pioneer quantum computing solutions that will redefine industries by 2026. We're seeking visionary researchers to develop next-generation quantum algorithms and applications that solve previously impossible computational challenges. Our state-of-the-art lab in San Francisco offers unparalleled resources and collaborative opportunities with leading physicists and engineers. This role offers competitive compensation, comprehensive benefits, and the chance to shape the future of computing.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Collaborate with hardware teams to develop error correction protocols for quantum processors
  • Lead research initiatives in quantum cryptography and secure communication systems
  • Publish breakthrough findings in peer-reviewed journals and present at international conferences
  • Mentor junior researchers and contribute to patent development for proprietary quantum technologies
  • Develop hybrid quantum-classical computing frameworks for industrial deployment

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years of research experience
  • Expertise in quantum circuit design and quantum algorithm development
  • Proficiency in quantum programming languages (Q#, Quil, or Cirq)
  • Strong background in linear algebra, probability theory, and complex analysis
  • Experience with quantum simulators and hardware platforms (IBM Quantum, Rigetti, or D-Wave)
  • Proven track record of publishing high-impact research in quantum computing
  • Excellent problem-solving skills and ability to work in cross-functional teams

Required Skills

Quantum Computing Quantum Algorithms Q# Quantum Cryptography Error Correction Machine Learning Physics Research

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