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Quantum Computing Research Scientist

FutureTech Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join FutureTech Innovations at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop next-generation algorithms and systems that will redefine computational boundaries. This role offers unparalleled opportunities to collaborate with Nobel laureates and shape the future of artificial intelligence, cryptography, and material science.

Our state-of-the-art Quantum Research Lab in San Francisco provides access to cutting-edge quantum processors, superconducting qubits, and proprietary software frameworks. You'll work in an agile, multidisciplinary environment where breakthrough ideas become reality within months, not years.

Responsibilities

  • Design and implement quantum algorithms for optimization, simulation, and machine learning applications
  • Lead research initiatives in quantum error correction and fault-tolerant quantum computing
  • Develop hybrid quantum-classical computing frameworks for real-world problem solving
  • Collaborate with hardware teams to optimize quantum circuit performance on physical qubits
  • Publish breakthrough research in top-tier journals and present at international conferences
  • Mentor junior researchers and contribute to quantum computing open-source initiatives
  • Secure patents and intellectual property for novel quantum computing methodologies

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 5+ years of research experience
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq) and quantum circuit design
  • Published record in quantum computing or theoretical computer science
  • Deep understanding of quantum algorithms (Shor's, Grover's, VQE, QAOA)
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, D-Wave)
  • Strong mathematical background in linear algebra, probability, and information theory
  • Proven ability to lead complex research projects and cross-functional teams

Required Skills

Quantum Computing Qiskit Q# Quantum Algorithms Quantum Error Correction Machine Learning Superconducting Qubits Cryptography

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