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Quantum Computing Research Scientist

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

Job Description

Join FutureTech Innovations at the forefront of technological revolution as we pioneer quantum computing applications for 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to develop breakthrough algorithms and solve complex computational challenges that will redefine industries. Collaborate with world-class physicists and engineers in our state-of-the-art Silicon Valley lab, where innovation meets real-world impact. This role offers unparalleled opportunities to shape the future of computational science while working with cutting-edge quantum hardware platforms.

Responsibilities

  • Design and implement quantum algorithms for optimization and machine learning applications
  • Develop error correction protocols for fault-tolerant quantum systems
  • Collaborate with hardware teams to optimize quantum circuit designs
  • Publish high-impact research in peer-reviewed journals and conferences
  • Mentor junior researchers and drive cross-functional innovation projects
  • Secure external funding through competitive grant applications
  • Translate theoretical quantum models into practical industry solutions

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on experience with quantum programming languages (Qiskit, Cirq, or Q#)
  • Published research in quantum algorithms or quantum error correction
  • Expertise in quantum hardware platforms (IBM Quantum, Rigetti, or IonQ)
  • Strong background in linear algebra, probability theory, and complex analysis
  • Proven ability to secure competitive research grants or funding
  • Experience mentoring graduate-level researchers
  • Deep understanding of NISQ-era limitations and mitigation strategies

Required Skills

Quantum Computing Quantum Algorithms Qiskit Quantum Error Correction Machine Learning Linear Algebra Research Fault-Tolerant Systems

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