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Quantum AI Research Scientist

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of 2026's technological revolution! We're seeking visionary Quantum AI Research Scientists to pioneer breakthroughs at the intersection of quantum computing and artificial intelligence. As a key member of our elite R&D team, you'll shape the future of computational intelligence in our state-of-the-art San Francisco facility. Collaborate with Nobel laureates and industry pioneers to develop quantum neural networks that will redefine machine learning paradigms. This role offers unparalleled resources, competitive compensation, and the opportunity to publish groundbreaking research in top-tier journals.

Responsibilities

  • Design and implement novel quantum algorithms for machine learning optimization
  • Lead cross-functional teams in developing hybrid quantum-classical computing frameworks
  • Conduct theoretical research on quantum entanglement applications in AI systems
  • Develop quantum-resistant encryption protocols for next-gen data security
  • Author patents and peer-reviewed publications on quantum-AI convergence
  • Secure federal grants and private funding for quantum computing initiatives
  • Mentor PhD candidates in quantum machine learning methodologies

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency with quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Published research in quantum machine learning or related fields
  • Deep understanding of quantum error correction techniques
  • Strong background in linear algebra, probability theory, and statistical modeling
  • Experience with high-performance computing environments

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Qiskit Cirq Q# Quantum Algorithms Quantum Entanglement Cryptography High-Performance Computing

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