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Quantum Computing Research Scientist

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

Job Description

Join Innovatech Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to develop breakthrough algorithms and architectures that will redefine computational boundaries. Collaborate with world-class physicists and engineers in a state-of-the-art facility while contributing to projects that could revolutionize cryptography, drug discovery, and artificial intelligence.

This role offers unparalleled opportunities to publish groundbreaking research, secure patents, and shape the future of quantum technology. Our commitment to innovation is matched only by our dedication to your professional growth through continuous learning programs and industry-leading resources.

Responsibilities

  • Design and implement novel quantum algorithms for complex computational problems
  • Develop error-correction techniques to enhance quantum system stability
  • Lead cross-functional teams in prototyping quantum hardware-software interfaces
  • Publish peer-reviewed research in top-tier scientific journals
  • Secure intellectual property through patents and proprietary technology development
  • Mentor junior researchers and contribute to strategic technology roadmaps

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum computing research experience
  • Expertise in quantum programming languages (Qiskit, Cirq, Q#)
  • Strong background in linear algebra and quantum information theory
  • Proficiency in Python and high-performance computing frameworks
  • Demonstrated ability to publish in quantum computing or physics journals
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)

Required Skills

quantum computing quantum algorithms quantum error correction Qiskit Cirq Q# Python linear algebra quantum information theory high-performance computing quantum hardware

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