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Quantum AI Research Scientist

Nexus Future Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence that will redefine computing paradigms. As a Quantum AI Research Scientist, you'll architect next-generation systems that solve previously impossible challenges in cryptography, drug discovery, and climate modeling. Our cutting-edge lab offers unprecedented resources to transform theoretical concepts into breakthrough innovations.

Located in San Francisco's vibrant tech ecosystem, you'll collaborate with Nobel laureates, quantum hardware pioneers, and AI visionaries. We provide competitive equity packages, flexible work arrangements, and dedicated R&D time to explore your boldest ideas. Shape the future of human-machine intelligence.

Responsibilities

  • Design and implement quantum machine learning algorithms for 2026-era computing challenges
  • Lead cross-functional R&D projects integrating quantum processors with advanced neural networks
  • Develop novel error correction protocols for fault-tolerant quantum systems
  • Publish breakthrough research in top-tier journals and industry conferences
  • Secure federal and corporate funding for quantum-AI initiatives
  • Mentor postdoctoral researchers and PhD candidates in quantum computing
  • Collaborate with hardware teams to co-design quantum-AI hybrid architectures

Qualifications

  • PhD in Quantum Computing, Machine Learning, or Computational Physics (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development experience
  • Publication record in Nature/Science or equivalent tier journals
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Deep understanding of quantum error correction and fault tolerance
  • Proven track record of securing competitive research grants
  • Experience with large-scale distributed computing frameworks
  • Strong background in tensor networks and quantum simulation

Required Skills

Quantum Computing Machine Learning Quantum Algorithms AI Research Error Correction Qiskit Q# Python TensorFlow PyTorch High-Performance Computing

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