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Quantum AI Research Scientist

Nexus Quantum Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

Join Nexus Quantum Dynamics at the forefront of 2026's technological revolution! We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect breakthrough algorithms that redefine computational boundaries. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical concepts into real-world applications.

At Nexus, we don't just adapt to the future—we create it. You'll collaborate with Nobel laureates and Turing Award winners in an environment where curiosity is currency and innovation is our DNA. Enjoy competitive benefits including equity, flexible schedules, and dedicated R&D time.

Responsibilities

  • Design and implement quantum machine learning algorithms for optimization problems
  • Develop hybrid quantum-classical neural networks for next-gen AI systems
  • Lead experimental validation of quantum supremacy protocols
  • Author peer-reviewed publications in top-tier journals/conferences
  • Secure $5M+ in quantum computing research grants
  • Mentor postdoctoral researchers in quantum algorithm design
  • Collaborate with NASA, CERN, and MIT on quantum-secure communications

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, or Quipper)
  • Publication record in Nature/Science or top-tier CS venues
  • Expertise in tensor networks and quantum error correction
  • Strong background in machine learning frameworks (PyTorch/TensorFlow)
  • Clearance for US government quantum research initiatives

Required Skills

Quantum Computing Machine Learning Qiskit Cirq TensorFlow Quantum Error Correction Neural Networks Algorithm Design Research

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