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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Systems Architect

Nexus Innovations Inc.
San Francisco
Estimated Salary
USD 190.000 – USD 280.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join Nexus Innovations Inc. at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Systems Architect to design and implement next-generation computational frameworks that bridge quantum mechanics and artificial intelligence. This pivotal role will lead the development of hybrid quantum-classical systems capable of solving previously insurmountable challenges in climate modeling, drug discovery, and autonomous systems.

Our award-winning innovation lab offers unparalleled resources, including access to quantum annealing hardware and proprietary neural network accelerators. You'll collaborate with Nobel laureates and industry pioneers in an environment that celebrates bold thinking and rapid prototyping. This position includes equity, unlimited PTO, and relocation assistance for exceptional candidates.

Responsibilities

  • Design scalable quantum AI architectures leveraging superposition and entanglement principles
  • Develop hybrid quantum-classical algorithms for optimization problems at enterprise scale
  • Lead cross-functional teams in implementing quantum machine learning pipelines
  • Research and mitigate quantum decoherence effects in real-world applications
  • Architect fault-tolerant quantum computing systems with 99.99% algorithmic fidelity
  • Create quantum security protocols for next-generation data encryption standards
  • Pioneer novel error-correction techniques for quantum neural networks

Qualifications

  • PhD in Quantum Computing, Theoretical Physics, or equivalent practical experience
  • 5+ years developing quantum algorithms or AI systems at scale
  • Expertise in quantum programming languages (Qiskit, Cirq, or Q#)
  • Published research in quantum machine learning or quantum information theory
  • Proficiency with quantum circuit optimization and tensor network simulations
  • Experience leading technical teams in high-stakes R&D environments
  • Deep understanding of quantum decoherence mitigation strategies
  • Strong background in distributed computing and parallel processing

Required Skills

Quantum Computing Machine Learning AI Architecture Theoretical Physics Quantum Algorithms Qiskit Cirq Distributed Systems Neural Networks Cryptography

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