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Quantum AI Research Scientist

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

Job Description

Join the forefront of technological revolution as a Quantum AI Research Scientist at Nexus Quantum Solutions. We're pioneering the next generation of computational intelligence by merging quantum computing with artificial intelligence. Be part of an elite team shaping the future of technology in 2026 and beyond. Our state-of-the-art lab in San Francisco offers unparalleled resources to push the boundaries of what's possible in quantum machine learning.

This role offers a unique opportunity to work on cutting-edge projects that will redefine industries from healthcare to finance. We provide competitive compensation, comprehensive benefits, and a culture that celebrates innovation and intellectual curiosity.

Responsibilities

  • Design and implement novel quantum algorithms for AI and machine learning applications
  • Collaborate with cross-functional teams to integrate quantum solutions with classical AI frameworks
  • Lead research initiatives in quantum neural networks and quantum-enhanced data processing
  • Develop quantum-resistant security protocols for AI systems
  • Publish groundbreaking research in top-tier scientific journals and conferences
  • Secure research funding through grant proposals and industry partnerships
  • Mentor junior researchers and contribute to patent development

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of experience in quantum algorithm development or quantum machine learning
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Strong background in AI/ML frameworks (TensorFlow, PyTorch)
  • Publication record in quantum computing or AI research
  • Experience with quantum hardware platforms (IBM Q, Rigetti, D-Wave)
  • Excellent problem-solving skills and ability to work in fast-paced environments

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Quantum Algorithms Q# Qiskit TensorFlow PyTorch Quantum Hardware Research

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