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Quantum AI Research Scientist

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

Job Description

Join the forefront of technological revolution at Nexus Quantum Dynamics. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's greatest challenges by 2026. As a Quantum AI Research Scientist, you'll architect next-generation algorithms that redefine computational boundaries. Our state-of-the-art lab offers unparalleled resources to transform theoretical concepts into breakthrough applications in cryptography, materials science, and climate modeling.

We value disruptive thinkers who thrive at the intersection of physics and machine learning. You'll collaborate with Nobel laureates and Turing Award winners in an environment that celebrates intellectual courage. Beyond competitive compensation, we offer equity in our unicorn-status startup and flexible work arrangements designed for peak innovation.

Responsibilities

  • Design and implement hybrid quantum-classical AI frameworks for complex optimization problems
  • Develop novel quantum machine learning algorithms leveraging superposition and entanglement
  • Lead cross-disciplinary research teams in quantum cryptography and secure AI systems
  • Translate theoretical quantum computing models into deployable software solutions
  • Author peer-reviewed publications and patents in top-tier scientific journals
  • Mentor junior researchers and contribute to open-source quantum AI ecosystems
  • Secure $5M+ in government and industry research grants for 2026 initiatives

Qualifications

  • PhD in Quantum Computing, Theoretical Physics, or Machine Learning (or equivalent experience)
  • Expertise in quantum programming languages (Qiskit, Q#, Cirq) and classical ML frameworks
  • Published research in quantum algorithms or quantum machine learning
  • Proficiency in high-performance computing and distributed systems
  • Strong background in linear algebra, probability theory, and information theory
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
  • Track record of translating academic research into commercial applications

Required Skills

Quantum Computing Machine Learning Qiskit Q# Cryptography High-Performance Computing Python C++ TensorFlow PyTorch

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