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Quantum AI Research Scientist

Nexus Quantum Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Quantum Dynamics at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems that will redefine computational boundaries. As a Quantum AI Research Scientist, you'll collaborate with Nobel laureates and industry disruptors to develop next-generation algorithms for cryptography, materials science, and autonomous systems. Our state-of-the-art labs in San Francisco's innovation hub offer unparalleled resources for breakthrough research.

Benefits include equity, flexible hybrid work, and a $20,000 annual innovation stipend. Shape the future with us.

Responsibilities

  • Design and implement quantum machine learning models for complex optimization problems
  • Lead cross-functional teams in developing quantum-AI hybrid architectures
  • Publish peer-reviewed research in top-tier journals and conferences
  • Secure patents for novel quantum algorithms and applications
  • Collaborate with hardware teams to prototype quantum computing solutions
  • Mentor junior researchers and PhD candidates
  • Present findings to industry partners and government agencies

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 3+ years research experience
  • Proficiency in quantum programming languages (Q#, Qiskit) and Python frameworks
  • Published work in quantum machine learning or quantum information theory
  • Experience with superconducting quantum processors or ion-trap systems
  • Strong background in linear algebra, probability, and quantum mechanics
  • Track record of securing research grants or corporate funding
  • Excellent communication skills for technical and non-technical audiences

Required Skills

Quantum Computing Machine Learning Qiskit Q# Python Quantum Algorithms Cryptography Superconducting Qubits

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