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Quantum AI Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer the next wave of quantum-AI integration. We're seeking visionary Quantum AI Research Scientists to develop groundbreaking algorithms that will redefine computational capabilities by 2026. Our interdisciplinary team operates at the intersection of quantum mechanics, machine learning, and advanced cryptography, pushing the boundaries of what's possible in artificial intelligence. You'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art San Francisco facility, where innovation isn't just encouraged—it's our DNA.

Responsibilities

  • Design and implement novel quantum machine learning algorithms for next-gen AI systems
  • Lead research initiatives in quantum neural networks and hybrid quantum-classical computing
  • Develop cryptographic protocols for quantum-resistant AI security frameworks
  • Publish breakthrough research in top-tier scientific journals and conferences
  • Mentor cross-functional teams in quantum computing principles and applications
  • Secure $2M+ in research grants through compelling proposals
  • Translate theoretical quantum-AI models into scalable production systems

Qualifications

  • PhD in Quantum Computing, Theoretical Physics, or Machine Learning (or equivalent experience)
  • 5+ years of hands-on experience with quantum circuit design and QIS frameworks
  • Published research in quantum machine learning or quantum algorithms
  • Expertise in Python, Qiskit, Cirq, and TensorFlow/PyTorch
  • Deep understanding of quantum error correction and fault tolerance
  • Proven track record of securing competitive research funding
  • Strong background in high-performance computing and distributed systems
  • Experience with ethical AI development frameworks and responsible innovation

Required Skills

Quantum Computing Machine Learning Python Qiskit TensorFlow Cryptography Research AI Ethics High-Performance Computing

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