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Quantum Computing Research Scientist

Nexus Technologies Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Technologies Inc. at the forefront of computational revolution! We seek a visionary Quantum Computing Research Scientist to pioneer breakthroughs in quantum algorithms and hardware optimization. Shape the future of technology by solving previously unsolvable problems in cryptography, material science, and AI. Collaborate with Nobel laureates and industry pioneers in our state-of-the-art R&D facility in San Francisco's innovation district. Enjoy competitive compensation, equity, and unparalleled growth opportunities in one of the world's most dynamic tech ecosystems.

Responsibilities

  • Design and implement novel quantum algorithms for complex computational challenges
  • Optimize quantum hardware performance through error correction and qubit stabilization techniques
  • Lead cross-functional R&D projects with physicists, engineers, and software developers
  • Publish peer-reviewed research in top-tier journals and present at international conferences
  • Secure and manage research partnerships with leading academic institutions
  • Translate theoretical research into practical applications for commercial deployment

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years of hands-on experience with quantum computing frameworks (Qiskit, Cirq, or Q#)
  • Proven expertise in quantum algorithm development and quantum circuit optimization
  • Strong background in linear algebra, probability theory, and computational complexity
  • Publication record in quantum computing or high-performance computing research
  • Experience with superconducting or trapped-ion quantum systems
  • Exceptional problem-solving skills and ability to communicate complex concepts clearly

Required Skills

Quantum Computing Qiskit Cirq Q# Quantum Algorithms Error Correction Superconducting Qubits Trapped-Ion Systems Linear Algebra Computational Complexity

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