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Quantum AI Research Scientist

Nexus Dynamics
San Francisco
Estimated Salary
USD 190.000 – USD 280.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Dynamics at the forefront of technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. We're seeking a visionary Quantum AI Research Scientist to develop groundbreaking algorithms that will redefine computational capabilities by 2026. In this pivotal role, you'll collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges in cryptography, materials science, and climate modeling.

Our state-of-the-art Quantum Neural Network Lab offers unparalleled resources including 128-qubit processors and exascale computing clusters. You'll lead cross-functional teams to prototype next-gen AI systems while publishing in top-tier journals and contributing to open-source quantum frameworks. This isn't just a jobβ€”it's your opportunity to shape the computational paradigm of the future.

Responsibilities

  • Design and implement hybrid quantum-classical machine learning models for real-world applications
  • Develop novel quantum algorithms to exponentially accelerate AI training processes
  • Lead experimental validation of quantum neural networks on fault-tolerant hardware
  • Collaborate with hardware engineers to optimize quantum-AI co-design architectures
  • Publish breakthrough research in Nature/Science journals and present at QIP/NeurIPS
  • Mentor PhD researchers and secure $5M+ in NSF/DARPA funding
  • Contribute to open-source frameworks like PennyLane and Qiskit Terra

Qualifications

  • PhD in Quantum Computing, Theoretical Physics, or Machine Learning (or equivalent experience)
  • 3+ years hands-on experience with quantum programming (Qiskit, Cirq, or Q#)
  • Publication record in top-tier quantum/AI conferences (QIP, NeurIPS, ICML)
  • Expertise in tensor networks and quantum circuit optimization
  • Strong mathematical foundations in linear algebra, probability, and information theory
  • Proficiency with high-performance computing (HPC) and GPU acceleration
  • Track record of translating theoretical concepts into experimental prototypes
  • Experience securing government or corporate research grants

Required Skills

Quantum Computing Machine Learning Python Qiskit Tensor Networks HPC Research AI Algorithms

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