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Quantum Computing Research Scientist

Nexus Future Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of technological revolution as we pioneer quantum computing applications for 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to develop next-generation algorithms and solve previously unsolvable computational challenges. In this role, you'll collaborate with interdisciplinary teams to push the boundaries of quantum hardware, software, and practical applications in fields ranging from cryptography to drug discovery. Our state-of-the-art facility in San Francisco offers unparalleled resources and a culture that celebrates bold innovation.

Responsibilities

  • Design and implement novel quantum algorithms for practical 2026-era applications
  • Collaborate with hardware engineers to optimize quantum circuit performance
  • Lead research initiatives in quantum error correction and fault-tolerant systems
  • Develop quantum machine learning models for predictive analytics
  • Publish findings in leading scientific journals and present at international conferences
  • Mentor junior researchers and contribute to patent development
  • Partner with industry leaders to identify quantum computing commercialization opportunities

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Expertise in quantum algorithm design and complexity theory
  • Strong publication record in quantum computing or theoretical physics
  • Deep understanding of quantum hardware architectures and constraints
  • Proficiency in high-performance computing environments
  • Experience with machine learning and classical-quantum hybrid systems
  • Demonstrated ability to translate theoretical concepts into practical implementations

Required Skills

Quantum Computing Qiskit Cirq Q# Algorithm Design Quantum Error Correction Machine Learning High-Performance Computing

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