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Quantum AI Architect - 2026 Initiative

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 280.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of technological evolution as we launch our groundbreaking 2026 Initiative—a revolutionary project merging quantum computing and artificial intelligence to redefine human-machine interaction. We seek visionary Quantum AI Architects to design and implement next-generation systems that will shape the future of autonomous solutions. This role offers unparalleled opportunities to work with Nobel Prize-winning researchers and deploy cutting-edge infrastructure in a hyper-innovative environment.

Our Austin hub combines startup agility with enterprise resources, offering competitive equity packages and flexible hybrid work arrangements. You'll collaborate with world-class experts in quantum algorithms, neural networks, and distributed systems while contributing to projects that will impact billions of lives.

Responsibilities

  • Architect quantum-resistant AI frameworks for autonomous decision-making systems
  • Lead the integration of quantum processors with classical machine learning pipelines
  • Design fault-tolerant neural networks optimized for quantum hardware constraints
  • Develop novel cryptographic protocols for secure quantum-encrypted communications
  • Mentor cross-functional teams in quantum machine learning best practices
  • Drive innovation through R&D partnerships with quantum hardware manufacturers
  • Implement continuous optimization of quantum AI training workflows

Qualifications

  • PhD in Quantum Computing, Machine Learning, or related field (or equivalent experience)
  • 5+ years developing production-level AI/ML systems at scale
  • Expertise in quantum programming frameworks (Qiskit, Cirq, or PennyLane)
  • Proficiency with distributed computing architectures (Kubernetes, Spark)
  • Published research in quantum machine learning or quantum algorithms
  • Strong background in Python, TensorFlow, and PyTorch ecosystems
  • Experience with AWS Braket or Azure Quantum cloud platforms
  • Demonstrated ability to lead technical projects from concept to deployment

Required Skills

Quantum Computing Machine Learning AI Architecture Cryptography Distributed Systems Python TensorFlow PyTorch Qiskit Kubernetes

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