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Quantum AI Systems Architect

Nexus Futura Labs
San Francisco
Estimated Salary
USD 220.000 – USD 300.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Join Nexus Futura Labs at the forefront of technological evolution. We're seeking a visionary Quantum AI Systems Architect to design the next generation of computational infrastructure that will power humanity's breakthroughs by 2026. This role merges quantum computing, artificial intelligence, and sustainable engineering to solve previously unsolvable challenges.

You'll lead cross-disciplinary teams in developing hybrid quantum-classical systems that optimize global logistics, accelerate drug discovery, and create autonomous environmental remediation networks. Our lab operates at the intersection of theoretical physics and practical application, with access to bleeding-edge quantum hardware and petascale AI clusters.

This position offers unparalleled opportunities to shape the technological landscape of the coming decade, with competitive compensation, equity, and a relocation package for exceptional candidates.

Responsibilities

  • Design scalable quantum AI architectures integrating 1000+ qubit systems with transformer-based neural networks
  • Develop hybrid algorithms for real-time optimization of global supply chains and climate modeling
  • Lead implementation of quantum-secure blockchain networks for decentralized autonomous organizations
  • Architect neuromorphic computing systems for human-level AI reasoning and creative problem-solving
  • Establish ethical frameworks for autonomous decision-making systems in critical infrastructure
  • Mentor interdisciplinary teams of quantum physicists, machine learning engineers, and domain experts
  • Pioneer fault-tolerant quantum computing techniques for industrial-scale deployment

Qualifications

  • PhD in Quantum Computing, Theoretical Physics, or AI Systems with 5+ years industry experience
  • Published research in Nature/Science on quantum machine learning or topological quantum computing
  • Expertise in quantum circuit optimization and error correction protocols at scale
  • Proven track record of deploying production-grade quantum AI systems (e.g., D-Wave, IBM Quantum)
  • Mastery of quantum programming frameworks (Qiskit, Cirq) and high-performance computing architectures
  • Deep understanding of quantum-classical hybrid system design and quantum-inspired classical algorithms
  • Experience securing funding for cutting-edge research through NSF/NASA/DARPA grants
  • Demonstrated ability to translate theoretical concepts into practical commercial applications

Required Skills

Quantum Computing AI Architecture Machine Learning Quantum Algorithms High-Performance Computing Cryptography Neuromorphic Engineering Systems Design

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