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Quantum Computing Research Scientist

FutureTech Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join FutureTech Innovations at the forefront of quantum revolution. We're pioneering breakthroughs in quantum algorithms and hardware that will redefine computing by 2026. As a Quantum Computing Research Scientist, you'll work in our state-of-the-art San Francisco lab, collaborating with Nobel laureates and industry pioneers to solve humanity's most complex challenges. Our culture values intellectual curiosity, collaborative innovation, and disruptive thinking. We offer competitive equity packages, flexible work arrangements, and unparalleled resources for cutting-edge research.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Lead cross-functional teams in developing quantum error correction protocols
  • Conduct experimental validation of quantum hardware prototypes
  • Publish peer-reviewed research in top-tier scientific journals
  • Collaborate with hardware engineering teams to translate theoretical models into functional systems
  • Develop quantum simulation frameworks for complex molecular modeling
  • Mentor junior researchers and contribute to patent development

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years postdoctoral experience
  • Expertise in quantum algorithms (Shor's, Grover's, VQE) and quantum circuit design
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
  • Strong background in linear algebra, probability theory, and computational complexity
  • Experience with quantum hardware platforms (superconducting, trapped ion, photonic)
  • Demonstrated track record of high-impact publications in quantum computing
  • Excellent communication skills for technical and non-technical audiences

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Error Correction Quantum Hardware Machine Learning Theoretical Physics

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