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Quantum AI Integration Specialist

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

Job Description

Join Nexus Innovations at the forefront of technological evolution as we pioneer the convergence of quantum computing and artificial intelligence. We're seeking a visionary Quantum AI Integration Specialist to architect next-generation systems that will redefine industries by 2026. This role offers unparalleled opportunities to shape the future of computational science while working in our state-of-the-art San Francisco innovation hub.

As part of our elite Future Technologies Division, you'll collaborate with Nobel laureates and industry pioneers to develop groundbreaking solutions for challenges in cryptography, climate modeling, and personalized medicine. Our competitive compensation package includes equity, unlimited PTO, and comprehensive wellness benefits designed for tomorrow's innovators.

Responsibilities

  • Design and implement quantum neural network architectures for real-world AI applications
  • Develop hybrid quantum-classical algorithms to solve previously intractable computational problems
  • Lead cross-functional teams in prototyping quantum-optimized machine learning pipelines
  • Conduct cutting-edge research in quantum error correction for AI systems
  • Collaborate with hardware teams to co-design quantum processors optimized for AI workloads
  • Author white papers and patents on quantum-AI integration methodologies
  • Mentor junior researchers in emerging quantum computing paradigms

Qualifications

  • PhD in Quantum Computing, Theoretical Physics, or Machine Learning (or equivalent experience)
  • 5+ years in AI/ML development with production-level quantum computing experience
  • Expertise in quantum programming languages (Qiskit, Cirq, or Q#)
  • Proven track record of publishing in Nature/Science journals or top-tier conferences
  • Deep understanding of quantum algorithms (Shor's, Grover's, VQE) and AI frameworks
  • Experience with high-performance computing environments and parallel processing
  • Strong background in cryptography or computational complexity theory

Required Skills

Quantum Computing Machine Learning Python TensorFlow PyTorch Qiskit C++ GPU Acceleration Cryptography Algorithm Design

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