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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist

FutureTech Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join FutureTech Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking visionary research scientists to develop next-generation quantum algorithms and hardware interfaces that will redefine computational boundaries. Our state-of-the-art facility in San Francisco offers unparalleled resources for experimentation and collaboration with leading physicists and engineers. This role provides a unique opportunity to shape the future of artificial intelligence, cryptography, and complex system simulations.

Responsibilities

  • Design and implement novel quantum algorithms for machine learning optimization
  • Develop error-correction protocols for scalable quantum processors
  • Collaborate with hardware teams to integrate quantum-classical hybrid systems
  • Lead research projects on quantum-secure cryptography implementations
  • Publish findings in peer-reviewed journals and present at international conferences
  • Mentor junior researchers and cross-functional engineering teams
  • Secure competitive research grants and partnerships with academic institutions

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
  • Proficiency in quantum circuit design and quantum simulation tools
  • Publication record in quantum computing or quantum information theory
  • Strong background in linear algebra, probability theory, and statistical mechanics
  • Experience with cloud-based quantum computing platforms (IBM Quantum, AWS Braket)
  • Ability to translate complex theoretical concepts into practical engineering solutions

Required Skills

Quantum Computing Quantum Algorithms Quantum Cryptography Qiskit Cirq Machine Learning Error Correction Research

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