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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Integration Specialist

Nexus Futura Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join the forefront of technological evolution as a Quantum AI Integration Specialist at Nexus Futura Technologies. We're pioneering the convergence of quantum computing and artificial intelligence to solve tomorrow's most complex challenges today. In this cutting-edge role, you'll architect hybrid quantum-classical systems that redefine computational boundaries while driving real-world applications in cryptography, materials science, and autonomous systems. Our state-of-the-art facility in the heart of San Francisco's tech hub offers unparalleled resources for experimentation and collaboration with world-renowned researchers.

As a key member of our Future Systems Division, you'll contribute to projects that will shape the next decade of technological advancement. We provide comprehensive benefits including equity, wellness stipends, and continuous learning opportunities. If you're passionate about pushing beyond conventional computing paradigms and want to build the future, this is your moment.

Responsibilities

  • Design and implement hybrid quantum-AI algorithms for enterprise-scale optimization problems
  • Develop error mitigation protocols for quantum machine learning models at scale
  • Create integration frameworks between quantum processors and classical AI infrastructure
  • Lead cross-functional teams in prototyping quantum-enhanced neural networks
  • Conduct performance benchmarking against classical computing benchmarks
  • Author whitepapers and patents for novel quantum-AI methodologies
  • Maintain compliance with emerging quantum security standards

Qualifications

  • PhD in Quantum Computing, AI, or related field with 5+ years industry experience
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Expertise in machine learning frameworks (TensorFlow, PyTorch)
  • Published research in quantum machine learning or quantum information theory
  • Experience with quantum hardware integration (IBM Quantum, Rigetti, IonQ)
  • Strong background in high-performance computing architectures
  • Certification in quantum security protocols (e.g., NIST Post-Quantum standards)

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Qiskit TensorFlow Quantum Cryptography High-Performance Computing Python C++ Algorithm Design

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