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Quantum Computing Research Scientist

FutureTech Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join FutureTech Innovations at the forefront of quantum computing revolution. We're pioneering next-gen quantum algorithms that will redefine computational capabilities by 2026. As a Quantum Computing Research Scientist, you'll collaborate with world-class physicists and engineers to develop scalable quantum systems and solve previously unsolvable problems.

Our state-of-the-art lab in San Francisco offers unparalleled resources for quantum experimentation, including cryogenic processors and advanced simulation tools. We provide comprehensive benefits, flexible work arrangements, and opportunities to publish groundbreaking research.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Develop error correction protocols to enhance quantum system reliability
  • Collaborate with hardware engineers to improve qubit stability and coherence times
  • Lead quantum simulation projects for complex molecular modeling
  • Publish research in peer-reviewed journals and present at international conferences
  • Mentor junior researchers and contribute to quantum education initiatives
  • Secure research funding through government and industry partnerships

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of experience in quantum algorithm development
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Strong background in linear algebra and quantum information theory
  • Demonstrated track record of peer-reviewed publications
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, etc.)
  • Excellent problem-solving skills and innovative thinking
  • Ability to work collaboratively in cross-functional teams

Required Skills

Quantum Computing Quantum Algorithms Qiskit Q# Cirq Quantum Error Correction Cryogenic Systems Machine Learning Linear Algebra Peer-Reviewed Research

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