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Quantum AI Research Scientist 2026

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

Job Description

Join Nexus Futuristics at the forefront of technological evolution. We're seeking a visionary Quantum AI Research Scientist to architect breakthrough solutions that will redefine industries by 2026. In this pivotal role, you'll pioneer quantum machine learning algorithms, collaborate with Nobel laureates, and develop scalable AI systems that solve humanity's most complex challenges. Our state-of-the-art lab offers unprecedented resources to accelerate your research into quantum neural networks, autonomous systems, and post-silicon computing paradigms.

As part of our elite Future Horizons division, you'll influence next-gen AI ethics frameworks while publishing in top-tier journals. We provide competitive equity packages, flexible research timelines, and direct access to our 2026 technology roadmap. This isn't just research—it's legacy engineering.

Responsibilities

  • Design and implement quantum-entangled AI algorithms for autonomous decision systems
  • Lead cross-functional teams to prototype 2026-era AI applications in healthcare and logistics
  • Develop novel quantum error correction techniques for fault-tolerant neural networks
  • Collaborate with hardware teams to co-design quantum-AI hybrid computing architectures
  • Publish breakthrough research in Nature Quantum/AI and lead patent initiatives
  • Establish ethical frameworks for autonomous quantum systems deployment
  • Mentor junior researchers in quantum machine learning methodologies

Qualifications

  • PhD in Quantum Computing, Machine Learning, or Computational Physics
  • 5+ years experience in quantum algorithm development or AI research
  • Published work in top-tier journals (Nature, Science, IEEE Quantum)
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Strong background in tensor networks and quantum neural networks
  • Proven track record of scaling AI systems to enterprise-level complexity
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti)
  • Deep understanding of 2026-era tech convergence trends

Required Skills

Quantum Computing Machine Learning AI Ethics Neural Networks Quantum Programming Algorithm Design Research Leadership Computational Physics

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