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Quantum Computing Research Scientist

InnovateX Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join InnovateX Labs at the forefront of technological evolution as we pioneer breakthroughs in quantum computing for 2026 and beyond. We're seeking visionary Research Scientists to develop next-gen quantum algorithms and systems that will redefine computational boundaries. Collaborate with world-class physicists and engineers in our state-of-the-art San Francisco facility, where your work will directly impact industries from cryptography to AI. Enjoy competitive compensation, flexible work arrangements, and unparalleled opportunities for professional growth in one of tech's most dynamic fields.

Responsibilities

  • Design and implement novel quantum algorithms for complex computational problems
  • Lead experimental research in quantum error correction and qubit stability
  • Collaborate with hardware teams to optimize quantum system performance
  • Publish groundbreaking research in peer-reviewed journals and conferences
  • Develop scalable quantum computing frameworks for commercial applications
  • Mentor junior researchers and drive cross-functional innovation
  • Secure patents and intellectual property for quantum methodologies

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (MS with exceptional experience considered)
  • 3+ years of hands-on quantum computing research experience
  • Expertise in quantum algorithms and quantum information theory
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Strong background in linear algebra, probability, and computational complexity
  • Publication record in top-tier quantum computing conferences
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, or IonQ)
  • Ability to translate theoretical concepts into practical implementations

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Quantum Error Correction Quantum Hardware Linear Algebra Machine Learning Cryptography

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