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Quantum Computing Research Scientist

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

Job Description

Join InnovateX Labs at the forefront of technological evolution as we pioneer the next era of quantum computing. We seek a visionary Quantum Computing Research Scientist to develop groundbreaking algorithms and hardware solutions that will redefine industries by 2026. Collaborate with world-class physicists, engineers, and AI specialists in our state-of-the-art Silicon Valley facility. This role offers unparalleled opportunities to shape the future of computational science while enjoying competitive compensation, flexible work arrangements, and comprehensive benefits.

Responsibilities

  • Design and implement quantum algorithms for optimization, cryptography, and machine learning applications
  • Lead experimental research on quantum error correction and qubit stability
  • Develop hybrid quantum-classical computing frameworks for enterprise solutions
  • Collaborate with hardware teams to prototype next-generation quantum processors
  • Publish high-impact research in leading scientific journals and conferences
  • Secure patents for novel quantum methodologies and systems
  • Mentor junior researchers and drive cross-functional innovation

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years of hands-on quantum computing research or development experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and simulation tools
  • Strong background in linear algebra, quantum mechanics, and information theory
  • Track record of peer-reviewed publications in quantum computing or adjacent fields
  • Experience with cloud-based quantum platforms (IBM Quantum, Azure Quantum, Amazon Braket)
  • Demonstrated ability to translate theoretical concepts into practical implementations

Required Skills

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

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