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Quantum AI Research Scientist 2026

Nexus Dynamics
San Francisco
Estimated Salary
USD 190.000 – USD 280.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Dynamics at the forefront of 2026 technological evolution as a Quantum AI Research Scientist. We're pioneering quantum computing breakthroughs that will redefine artificial intelligence within the next decade. This role offers unparalleled opportunity to shape the future of computational intelligence while working in our state-of-the-art San Francisco lab. You'll collaborate with Nobel laureates and Turing Award winners to develop quantum algorithms that solve previously unsolvable problems in machine learning, cryptography, and computational biology.

Our comprehensive benefits package includes equity grants, unlimited learning stipends, and flexible hybrid work arrangements. This position requires US citizenship or permanent residency due to government partnership requirements.

Responsibilities

  • Design and implement quantum machine learning algorithms for 2026-era AI systems
  • Lead research on quantum neural networks and quantum-enhanced deep learning architectures
  • Develop novel quantum optimization techniques for large-scale computational problems
  • Collaborate with hardware teams to prototype quantum-classical hybrid computing solutions
  • Publish groundbreaking research in top-tier journals and industry conferences
  • Secure $2M+ in annual research funding through government and private partnerships
  • Mentor PhD candidates in quantum computing and AI ethics

Qualifications

  • PhD in Quantum Computing, Theoretical Computer Science, or Physics (2018-2023)
  • 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
  • Published research in quantum machine learning or quantum information theory
  • Expertise in Python, TensorFlow/PyTorch, and high-performance computing
  • Demonstrated ability to secure competitive research grants
  • Strong background in linear algebra, probability theory, and quantum mechanics
  • Experience with NISQ-era hardware limitations and error mitigation strategies
  • Excellent communication skills for technical and non-technical audiences

Required Skills

Quantum Computing Machine Learning Python TensorFlow Qiskit Quantum Algorithms Research High-Performance Computing

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