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Quantum AI Research Scientist

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
20 Mei 2026
Deadline
20 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. In this pivotal role, you'll develop next-gen algorithms that redefine computational boundaries, collaborate with Nobel laureates, and shape the future of human-machine symbiosis.

Our state-of-the-art facility in downtown San Francisco offers unparalleled resources, including quantum annealing arrays, photonic processors, and AI supercomputing clusters. We provide comprehensive benefits, flexible work arrangements, and a culture that celebrates intellectual curiosity. If you're driven to solve humanity's grandest challenges through quantum-AI convergence, this is your moment.

Responsibilities

  • Design and implement quantum machine learning algorithms for optimization problems
  • Develop hybrid quantum-classical neural networks with exponential speed advantages
  • Lead cross-functional teams in prototyping quantum-AI applications for healthcare, logistics, and materials science
  • Contribute to open-source quantum AI frameworks and publish breakthrough research
  • Translate theoretical quantum models into scalable industrial solutions
  • Mentor junior researchers and secure multi-million dollar research grants

Qualifications

  • PhD in Quantum Computing, Machine Learning, or Computational Physics
  • 3+ years of hands-on quantum algorithm development experience
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq) and AI frameworks
  • Published research in top-tier journals (Nature, Science, etc.) on quantum-AI convergence
  • Deep understanding of quantum error correction and fault-tolerant systems
  • Proven track record of securing competitive research funding

Required Skills

Quantum Computing Machine Learning Q# Python C++ Neural Networks Quantum Algorithms AI Optimization Research Leadership

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