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Quantum AI Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Join Nexus Quantum Labs 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 develop groundbreaking algorithms for quantum machine learning, optimize quantum neural networks, and collaborate with Nobel laureates to solve humanity's most complex challenges. Our state-of-the-art facility in San Francisco offers unparalleled resources including 100+ qubit processors and exascale computing clusters.

We offer competitive equity packages, unlimited wellness stipends, and flexible remote work options. Be part of the team that's building the computational backbone of tomorrow's industries.

Responsibilities

  • Design and implement quantum algorithms for machine learning applications
  • Develop hybrid quantum-classical neural network architectures
  • Optimize quantum error correction protocols for scalable AI systems
  • Lead cross-functional research projects with theoretical physicists and software engineers
  • Publish findings in top-tier journals and present at international conferences
  • Mentor junior researchers in quantum computing principles
  • Collaborate with product teams to commercialize research breakthroughs

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of experience in quantum algorithm development
  • Expertise in Python, Qiskit, and quantum circuit optimization
  • Published research in quantum machine learning or quantum information theory
  • Strong background in linear algebra, probability, and statistical mechanics
  • Experience with high-performance computing environments
  • Proven ability to translate theoretical concepts into practical implementations

Required Skills

Quantum Computing Machine Learning Python Qiskit Neural Networks Linear Algebra High-Performance Computing Algorithm Design

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