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Quantum AI Research Scientist 2026

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution! We're seeking a pioneering Quantum AI Research Scientist to architect the next generation of intelligent systems. This role demands a visionary mind to bridge quantum computing and artificial intelligence, developing solutions that will redefine industries by 2026. Work alongside Nobel laureates in our state-of-the-art facility where breakthroughs become reality.

As part of our elite Future Technologies Division, you'll access unparalleled resources and collaborate with world-class researchers. We offer competitive compensation, equity packages, and the opportunity to shape humanity's technological trajectory. If you're ready to solve problems that don't yet have answers, apply today.

Responsibilities

  • Design and implement quantum algorithms for AI optimization beyond classical computing limits
  • Lead research into quantum neural networks and hybrid quantum-classical systems
  • Develop predictive models for 2026 technological adoption curves
  • Collaborate with hardware teams to co-design quantum-AI integration architectures
  • Publish breakthrough research in top-tier journals and conferences
  • Mentor junior researchers and drive innovation through hackathons
  • Secure patents for quantum-AI methodologies and applications

Qualifications

  • PhD in Quantum Computing, AI, or Physics with 5+ years research experience
  • Published work in Nature/Science or equivalent-tier journals
  • Expertise in quantum machine learning frameworks (Qiskit, Cirq, PennyLane)
  • Proficiency in Python, TensorFlow, and quantum circuit design
  • Deep understanding of quantum error correction and fault tolerance
  • Track record of securing $1M+ in research grants
  • Experience with superconducting and trapped-ion quantum systems

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Quantum Algorithms Research TensorFlow Python Scientific Publishing Quantum Hardware

Ready to Take This Challenge?

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