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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist

FutureTech Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Join FutureTech Innovations at the forefront of technological revolution as we pioneer quantum computing solutions that will redefine the future. We're seeking visionary Quantum Computing Research Scientists to develop groundbreaking algorithms and systems that will power the next generation of technology. Work in our state-of-the-art lab with world-class resources and collaborate with industry leaders to solve humanity's most complex challenges. This is your opportunity to shape 2026's digital landscape today.

Responsibilities

  • Design and implement quantum algorithms for optimization, cryptography, and machine learning applications
  • Develop novel quantum hardware architectures and error correction protocols
  • Lead cross-functional teams in prototyping and testing quantum systems
  • Publish research in peer-reviewed journals and present at international conferences
  • Collaborate with government agencies and industry partners on quantum security initiatives
  • Secure intellectual property through patents and trade secrets
  • Mentor junior researchers and foster a culture of innovation

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 5+ years research experience
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq) and quantum circuit design
  • Published record in quantum computing or theoretical physics
  • Strong background in linear algebra, probability theory, and computational complexity
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
  • Demonstrated ability to secure research funding through grants and partnerships
  • Excellent communication skills with ability to translate complex concepts for diverse audiences

Required Skills

Quantum Computing Quantum Algorithms Qiskit Q# Cryptography Machine Learning Research Methodology Patent Law

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