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Quantum AI Research Scientist 2026

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

Job Description

Join Nexus Future Labs at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Research Scientist to pioneer breakthroughs at the intersection of quantum computing and artificial intelligence. This role offers unparalleled opportunities to shape tomorrow's digital landscape while working with Nobel Prize-winning researchers and cutting-edge infrastructure.

Our state-of-the-art facility in San Francisco provides an environment where innovation thrives. You'll collaborate with interdisciplinary teams developing next-generation solutions for climate modeling, drug discovery, and autonomous systems. We offer competitive compensation, flexible work arrangements, and comprehensive benefits including equity participation in our groundbreaking projects.

Responsibilities

  • Design and implement quantum algorithms for machine learning applications
  • Lead research initiatives in quantum neural networks and hybrid quantum-classical systems
  • Develop novel AI architectures leveraging quantum computational advantages
  • Collaborate with hardware teams to optimize quantum-AI integration
  • Publish findings in top-tier journals and present at international conferences
  • Secure research funding through government and private sector proposals
  • Mentor junior researchers and foster cross-functional innovation

Qualifications

  • PhD in Quantum Computing, AI, or related computational field
  • 3+ years of hands-on experience with quantum programming (Qiskit, Cirq)
  • Expertise in machine learning frameworks (TensorFlow, PyTorch)
  • Published research in quantum machine learning or AI optimization
  • Strong background in complex mathematical modeling
  • Experience with high-performance computing environments
  • Proven ability to translate theoretical concepts into practical implementations
  • Excellent communication skills for technical and non-technical audiences

Required Skills

Quantum Computing Machine Learning Python TensorFlow Qiskit Cirq Algorithm Design High-Performance Computing

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