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Quantum Computing Research Scientist

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

Job Description

Join FutureTech Innovations at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking visionary Quantum Computing Research Scientists to develop groundbreaking algorithms and hardware architectures that will redefine computational boundaries. In this role, you'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art Silicon Valley lab, pushing the limits of quantum entanglement and error correction to solve previously impossible problems.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Lead quantum hardware integration projects with superconducting and photonic systems
  • Develop error mitigation protocols for NISQ-era quantum processors
  • Publish breakthrough research in top-tier journals and present at international conferences
  • Mentor junior researchers and cross-functional engineering teams
  • Secure patents for quantum computing methodologies and architectures
  • Collaborate with industry partners to translate research into commercial applications

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum focus
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
  • Published research in quantum computing or quantum information theory
  • Deep understanding of quantum error correction and fault tolerance
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, or IonQ)
  • Strong background in linear algebra and quantum mechanics fundamentals
  • Excellent problem-solving skills and ability to work in fast-paced R&D environments

Required Skills

Quantum Computing Quantum Algorithms Quantum Hardware Qiskit Cirq Error Correction Superconducting Systems Machine Learning PhD Physics

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