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Quantum AI Research Scientist 2026

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. We're seeking visionary Quantum AI Research Scientists to develop next-generation algorithms that will redefine computational boundaries. This role offers unparalleled access to cutting-edge quantum hardware and collaborative freedom to explore uncharted scientific territories.

Our state-of-the-art facility in San Francisco provides an incubator for breakthrough innovations where your work directly impacts global technology adoption. We offer competitive compensation, flexible research timelines, and a culture that celebrates intellectual curiosity and bold experimentation.

Responsibilities

  • Design and implement quantum machine learning algorithms for real-world applications
  • Develop hybrid quantum-classical neural network architectures
  • Lead cross-functional teams in prototyping quantum AI solutions
  • Publish breakthrough research in top-tier scientific journals
  • Collaborate with hardware engineers to optimize quantum circuit designs
  • Secure research grants and patents for novel quantum methodologies
  • Mentor junior researchers in quantum computational theory

Qualifications

  • PhD in Quantum Computing, Computer Science, or Physics with 3+ years research experience
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Deep understanding of quantum error correction and fault-tolerant systems
  • Published work in quantum machine learning or quantum information theory
  • Strong background in linear algebra, probability, and statistical mechanics
  • Experience with high-performance computing clusters
  • Demonstrated ability to translate theoretical concepts into practical implementations

Required Skills

Quantum Computing Machine Learning Qiskit Q# Python TensorFlow PyTorch Research Methodology

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