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Quantum AI Systems Architect

Nexus Quantum Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Quantum Dynamics at the forefront of 2026's technological revolution. We're pioneering the intersection of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Systems Architect, you'll architect next-gen neural networks that leverage quantum superposition and entanglement to achieve computational breakthroughs previously deemed impossible.

Why Nexus Quantum? We offer unparalleled resources in our state-of-the-art quantum lab, equity in a pre-IPO unicorn, and the opportunity to patent groundbreaking algorithms. Our team includes Nobel laureates and Turing Award winners who will personally mentor your growth.

Responsibilities

  • Design scalable quantum neural networks using Qiskit and Cirq frameworks
  • Develop hybrid quantum-classical architectures for real-world problem solving
  • Optimize quantum algorithms for NISQ-era hardware constraints
  • Lead cross-functional teams of quantum physicists and machine learning engineers
  • Secure $5M+ in research grants for quantum-AI initiatives
  • Publish in Nature/Science journals and speak at major conferences
  • Drive commercialization of quantum AI solutions in finance/biotech

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 5+ years implementing quantum algorithms on real hardware
  • Expertise in quantum error correction and fault-tolerant design
  • Proficiency with quantum machine learning frameworks (e.g., PennyLane)
  • Publication record in top-tier quantum computing journals
  • Experience securing government/industry research funding
  • Deep understanding of tensor networks and quantum information theory
  • Strong Python/C++ with quantum simulation libraries

Required Skills

Quantum Computing Machine Learning Qiskit Cirq Tensor Networks Quantum Error Correction QML Python C++ Research Leadership

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