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Quantum Computing Research Scientist

Innovatech Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Join the forefront of technological revolution as a Quantum Computing Research Scientist at Innovatech Labs. We're pioneering breakthroughs in quantum algorithms and hardware development to solve humanity's most complex challenges. This role offers unparalleled opportunities to collaborate with Nobel laureates and shape the future of computation.

Our state-of-the-art quantum lab in San Francisco provides an environment where theoretical physics meets practical innovation. You'll contribute to projects spanning quantum cryptography, error correction, and quantum machine learning while working with cutting-edge hardware from industry partners like IBM and Google Quantum AI.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop quantum error correction protocols to improve qubit coherence times
  • Collaborate with hardware teams to translate theoretical models into experimental implementations
  • Lead research publications in top-tier journals and conferences (Nature, IEEE Quantum)
  • Advise government agencies on quantum security standards and national strategy
  • Mentor junior researchers and PhD candidates in quantum information science

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum focus
  • 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq)
  • Published research in quantum computing or quantum information theory
  • Deep understanding of quantum mechanics principles and mathematical formalism
  • Proficiency in Python and low-level quantum hardware control languages
  • Experience with superconducting or ion-trap quantum systems
  • Strong track record of interdisciplinary problem-solving

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Quantum Error Correction Quantum Cryptography Python Superconducting Qubits Ion Traps Quantum Machine Learning

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