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Quantum Computing Research Scientist

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join Nexus Innovations at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to develop next-generation algorithms and systems that will redefine computational boundaries. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical quantum mechanics into practical applications.

What You'll Achieve: Design scalable quantum algorithms, optimize qubit stability, and collaborate with interdisciplinary teams to solve challenges in cryptography, AI, and materials science. You'll publish groundbreaking research and contribute to patent portfolios that will shape the next decade of innovation.

Responsibilities

  • Develop novel quantum algorithms for optimization and machine learning applications
  • Design and implement error-correction protocols for quantum systems
  • Collaborate with hardware engineers to improve qubit coherence times
  • Lead research initiatives on quantum cryptography applications
  • Publish peer-reviewed papers and present findings at international conferences
  • Secure government and industry funding for quantum research projects
  • Mentor junior researchers and cross-functional teams

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum focus
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
  • Published research in quantum computing or quantum information theory
  • Expertise in quantum error correction and fault-tolerant systems
  • Strong background in linear algebra, probability, and computational complexity
  • Experience with high-performance computing and parallelization techniques

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Q# Quantum Error Correction Cryptography Machine Learning High-Performance Computing

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