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Quantum Computing Research Scientist

Nexus Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Dynamics at the forefront of technological evolution as we pioneer the next generation of quantum computing systems. As a Quantum Computing Research Scientist, you'll contribute to groundbreaking research that will redefine computational capabilities by 2026. Our multidisciplinary team operates at the intersection of physics, computer science, and artificial intelligence, developing solutions for complex optimization problems, cryptography, and machine learning acceleration.

We offer a collaborative environment with state-of-the-art laboratories, flexible work arrangements, and comprehensive benefits including equity participation. This role presents an unparalleled opportunity to shape the technological landscape of the coming decade.

Responsibilities

  • Design and implement novel quantum algorithms for practical applications in finance and logistics
  • Lead experimental quantum hardware testing and error correction protocols
  • Collaborate with AI teams to develop hybrid quantum-classical computing frameworks
  • Publish research in leading scientific journals and present at international conferences
  • Mentor junior researchers and contribute to patent development
  • Interface with industry partners to translate research into commercial solutions

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum computing research experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
  • Strong background in linear algebra and quantum information theory
  • Publication record in quantum computing or adjacent fields
  • Experience with superconducting or photonic quantum systems
  • Demonstrated ability to work in cross-functional research teams

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Quantum Error Correction Superconducting Systems Quantum Machine Learning Cryptography Research Methodology

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