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2026 Quantum AI Research Scientist

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

Job Description

Join Nexus Innovations at the forefront of 2026's quantum-AI convergence revolution. We're seeking a visionary Research Scientist to pioneer breakthroughs in quantum machine learning algorithms that will redefine computational boundaries. As a cornerstone of our Quantum AI Division, you'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art San Francisco lab.

Our team develops proprietary quantum-resistant encryption systems and next-gen AI models that process exabyte-scale datasets in real-time. You'll lead initiatives that bridge quantum physics and neural networks, creating solutions for climate modeling, personalized medicine, and autonomous systems. This isn't just research—it's engineering the future.

Responsibilities

  • Design and implement quantum neural networks for complex pattern recognition
  • Develop novel quantum algorithms to accelerate AI training by 10x
  • Lead cross-functional projects with cryptography and nanotechnology teams
  • Publish 2-3 breakthrough papers in Nature/Science annually
  • Secure $5M+ in government/private research grants
  • Mentor PhD candidates in quantum machine learning
  • Patent 3+ quantum-AI innovations yearly

Qualifications

  • PhD in Quantum Computing or Machine Learning (Stanford/MIT preferred)
  • 5+ years in quantum algorithm development
  • Published work in top-tier quantum/AI journals
  • Expertise in Qiskit/Cirq and TensorFlow Quantum
  • Experience with superconducting quantum processors
  • Proven grant-writing success ($2M+ secured)
  • Deep understanding of quantum error correction
  • Fluency in Python/C++ with HPC optimization

Required Skills

Quantum Computing Machine Learning Python C++ Qiskit TensorFlow Quantum Superconducting Qubits Research Grants Patents Algorithm Design

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