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Quantum AI Integration Specialist

Nexus Future Labs
San Francisco
Estimated Salary
USD 185.000 – USD 250.000
New
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. We're seeking a visionary Quantum AI Integration Specialist to architect and deploy groundbreaking solutions that will redefine industries by 2026. This role offers unparalleled opportunity to shape the future of computational intelligence while working with world-class researchers and cutting-edge infrastructure.

Why Nexus Future Labs? We're a leading research institute dedicated to accelerating the transition from theoretical quantum computing to practical AI applications. Our collaborative environment combines academic rigor with startup agility, offering competitive compensation, equity, and the chance to solve humanity's most complex challenges.

Responsibilities

  • Design and implement quantum-AI integration frameworks for real-world applications
  • Lead cross-functional teams in developing hybrid quantum-classical machine learning pipelines
  • Research and prototype novel quantum algorithms optimized for 2026-era hardware constraints
  • Collaborate with hardware engineers to co-design quantum-AI accelerator systems
  • Develop security protocols for quantum-resistant AI models
  • Create technical documentation and evangelize quantum computing best practices
  • Drive innovation in error mitigation techniques for quantum neural networks

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 3+ years industry experience
  • Expertise in quantum machine learning frameworks (e.g., Qiskit, Cirq, PennyLane)
  • Proven track record of deploying AI solutions at scale (TensorFlow/PyTorch mastery)
  • Strong background in quantum error correction and fault-tolerant architectures
  • Experience with cloud quantum platforms (AWS Braket, Azure Quantum, Google Quantum AI)
  • Published research in top-tier quantum/AI conferences (e.g., QIP, NeurIPS)
  • Ability to translate complex quantum concepts into actionable engineering specifications

Required Skills

Quantum Computing Machine Learning Python Qiskit TensorFlow Quantum Error Correction Cloud Quantum Platforms AI Architecture

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