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Quantum AI Research Scientist 2026

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
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 architect solutions that will redefine computing paradigms by 2026. Our state-of-the-art facility in San Francisco offers unparalleled resources and collaborative environments where groundbreaking ideas become reality.

This role represents a unique opportunity to shape the future of artificial intelligence through quantum-enhanced algorithms, working alongside Nobel laureates and industry pioneers. You'll lead initiatives that could transform healthcare, cryptography, and computational modeling.

Responsibilities

  • Design and implement quantum machine learning models leveraging qubit entanglement for exponential computational speed
  • Develop hybrid quantum-classical AI systems optimized for real-world industrial applications
  • Lead cross-functional research teams in prototyping quantum neural networks
  • Collaborate with hardware engineers to co-design quantum processors optimized for AI workloads
  • Publish breakthrough research in top-tier journals and present at global tech symposiums
  • Secure patents for novel quantum-AI algorithms and methodologies

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years of research experience
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq) and classical ML frameworks
  • Published research in quantum computing or quantum machine learning (arXiv/IEEE)
  • Deep understanding of quantum error correction and fault-tolerant architectures
  • Experience with high-performance computing environments (HPC, cloud quantum platforms)
  • Demonstrated ability to translate theoretical concepts into practical implementations

Required Skills

Quantum Computing Machine Learning Qiskit Q# Python TensorFlow Research Patents

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