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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
31 Mei 2026
Deadline
31 Mei 2027

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. We're seeking visionary Quantum AI Research Scientists to develop breakthrough algorithms that will redefine computational boundaries. Our state-of-the-art lab offers unparalleled resources to accelerate your research in quantum machine learning, error correction, and neural network optimization. Collaborate with Nobel laureates and industry disruptors in an environment that values bold thinking and scientific excellence. Your work will directly impact industries from pharmaceutical discovery to climate modeling.

Responsibilities

  • Design and implement novel quantum algorithms for AI acceleration
  • Lead experimental research in quantum neural networks and hybrid quantum-classical systems
  • Develop error mitigation protocols for practical quantum computing applications
  • Collaborate with hardware teams to optimize quantum-AI integration
  • Publish breakthrough research in top-tier journals and conferences
  • Secure federal and private research funding for quantum-AI initiatives
  • Mentor junior researchers in quantum machine learning methodologies

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq, PennyLane)
  • Expertise in machine learning algorithms and neural network architectures
  • Published research in quantum computing or quantum machine learning
  • Proficiency in high-performance computing environments and parallel processing
  • Deep understanding of quantum error correction and fault tolerance
  • Strong background in linear algebra, probability, and information theory

Required Skills

Quantum Computing Machine Learning Python Qiskit Cirq TensorFlow PyTorch High-Performance Computing Linear Algebra

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