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Quantum Computing Research Scientist

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

Job Description

Join Nexus 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 drive breakthroughs in quantum algorithms, error correction, and hardware optimization. Collaborate with world-class physicists and engineers in our state-of-the-art Silicon Valley facility, where your work will directly shape the future of computational science. Enjoy competitive compensation, flexible work arrangements, and unparalleled opportunities to publish groundbreaking research.

Why Nexus Labs? We're not just preparing for 2026—we're creating it. Our cross-disciplinary teams work on projects that will redefine industries, from drug discovery to climate modeling. Your expertise will accelerate humanity's transition to the quantum era.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop quantum error correction protocols to enhance qubit stability
  • Collaborate on quantum hardware integration with engineering teams
  • Lead research initiatives in quantum machine learning applications
  • Publish findings in top-tier journals and present at international conferences
  • Mentor junior researchers and foster cross-functional innovation

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum computing research experience
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Strong background in linear algebra and complex systems theory
  • Demonstrated ability to publish peer-reviewed research
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, etc.)
  • Excellent problem-solving skills and innovative mindset

Required Skills

quantum computing quantum algorithms error correction Qiskit Cirq quantum hardware machine learning linear algebra research publishing

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