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Quantum AI Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution! We're seeking visionary Quantum AI Research Scientists to develop groundbreaking algorithms that will redefine computational boundaries. Our multidisciplinary team collaborates in state-of-the-art facilities to solve humanity's most complex challenges. You'll pioneer quantum machine learning frameworks while working alongside Nobel laureates and industry pioneers. This isn't just a jobβ€”it's your opportunity to shape the future of artificial intelligence.

What We Offer:

  • Cutting-edge quantum computing resources
  • Unlimited research budget with patent ownership
  • Flexible remote-first hybrid work model
  • Comprehensive benefits including equity

Responsibilities

  • Design and implement quantum machine learning algorithms for 2026-era applications
  • Lead research initiatives in quantum neural networks and quantum-enhanced AI
  • Collaborate with hardware teams to optimize quantum processor interactions
  • Publish breakthrough research in top-tier journals and conferences
  • Develop scalable quantum AI frameworks for enterprise adoption
  • Mentor junior researchers and foster innovation culture
  • Secure $2M+ in annual research grants

Qualifications

  • PhD in Quantum Computing, Machine Learning, or Physics (or equivalent experience)
  • 5+ years in quantum algorithm development or advanced AI research
  • Published work in Nature/Science or top-tier ML conferences
  • Expertise in quantum programming languages (Qiskit, Cirq, or Quipper)
  • Strong mathematical foundation in linear algebra and quantum theory
  • Experience with large-scale distributed computing frameworks
  • Proven track record of translating research into commercial applications

Required Skills

Quantum Computing Machine Learning Neural Networks Python Qiskit Cirq TensorFlow PyTorch Distributed Systems Research Methodology

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