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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist

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

Job Description

Join FutureTech Innovations at the forefront of technological revolution as a Quantum Computing Research Scientist. Shape the future of computing by solving complex problems in cryptography, material science, and artificial intelligence. Our state-of-the-art lab in San Francisco offers unparalleled resources to pioneer breakthroughs that will define the next decade.

We're seeking visionary minds to develop quantum algorithms, optimize qubit stability, and collaborate with Fortune 500 partners to commercialize quantum applications. This is your opportunity to work alongside Nobel laureates and contribute to humanity's most transformative technology.

Responsibilities

  • Design and implement quantum algorithms for optimization and simulation problems
  • Lead experimental research in qubit coherence and error correction
  • Collaborate with hardware teams to translate theoretical models into functional quantum systems
  • Publish findings in top-tier journals and present at international conferences
  • Develop patentable quantum computing methodologies and intellectual property
  • Mentor junior researchers and cross-functional engineering teams

Qualifications

  • PhD in Physics, Computer Science, or Quantum Information Science
  • 3+ years of hands-on quantum computing research experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
  • Strong background in linear algebra, quantum mechanics, and computational complexity
  • Publication record in peer-reviewed quantum computing journals
  • Experience with cryogenic quantum systems or superconducting qubits
  • Excellent problem-solving skills and ability to work in interdisciplinary teams

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Cryogenics Superconducting Qubits Quantum Error Correction Machine Learning Cryptography

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