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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Systems Architect

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of technological evolution. We're seeking visionary Quantum AI Systems Architects to design and implement next-generation computational frameworks that will redefine industries by 2026. In this role, you'll pioneer hybrid quantum-neural architectures while collaborating with Nobel laureates and industry disruptors. Our Austin R&D center offers unparalleled resources, including a 128-qubit quantum processor and petascale AI clusters.

This position includes equity packages, flexible hybrid work arrangements, and dedicated innovation time for personal research projects. You'll lead cross-functional teams to solve humanity's most complex challenges in cryptography, drug discovery, and climate modeling.

Responsibilities

  • Design fault-tolerant quantum computing systems integrated with advanced neural networks
  • Develop proprietary algorithms for quantum machine learning optimization
  • Lead implementation of hybrid quantum-classical computing infrastructures
  • Collaborate with hardware teams to engineer quantum-entangled memory systems
  • Author peer-reviewed publications on quantum AI breakthroughs
  • Secure $5M+ in research grants for quantum AI initiatives
  • Mentor junior researchers in quantum information science principles

Qualifications

  • PhD in Quantum Computing, Computer Science, or Physics with 5+ years industry experience
  • Published research in Nature/Science on quantum algorithms or AI systems
  • Expertise in Qiskit, Cirq, or equivalent quantum programming frameworks
  • Proficiency with TensorFlow Quantum and PyTorch Quantum libraries
  • Experience with superconducting qubit architectures and cryogenic systems
  • Track record of leading technical teams in high-stakes R&D environments
  • Deep understanding of quantum error correction and topological qubits
  • Strong background in distributed computing and cloud-native architectures

Required Skills

Quantum Computing Machine Learning Python TensorFlow Qiskit Cirq Cryogenic Systems Distributed Computing Research Leadership

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