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Quantum AI Research Scientist

Nexus Dynamics
Austin
Estimated Salary
USD 140.000 – USD 220.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Dynamics at the forefront of 2026's technological revolution as a Quantum AI Research Scientist. We're pioneering the fusion of quantum computing and artificial intelligence to solve humanity's most complex challenges. This role offers an unparalleled opportunity to shape the future of computational intelligence in our state-of-the-art Austin lab.

You'll collaborate with Nobel laureates and industry pioneers to develop quantum neural networks, optimize machine learning algorithms for quantum hardware, and pioneer breakthrough applications in cryptography, drug discovery, and climate modeling. Our team operates at the intersection of theoretical physics and practical AI implementation, pushing boundaries once thought impossible.

Nexus Dynamics provides a competitive compensation package, flexible work arrangements, and access to cutting-edge quantum hardware. If you're ready to transform abstract theory into tangible solutions that will define the next decade, we invite you to apply.

Responsibilities

  • Design and implement quantum machine learning algorithms for next-gen AI systems
  • Develop hybrid quantum-classical computing frameworks for real-world applications
  • Lead research initiatives in quantum neural networks and quantum-enhanced optimization
  • Collaborate with hardware teams to optimize quantum algorithms for proprietary qubit architectures
  • Publish groundbreaking research in top-tier journals and present at international conferences
  • Mentor junior researchers and drive cross-functional innovation projects
  • Secure patents for novel quantum AI methodologies and intellectual property

Qualifications

  • PhD in Quantum Computing, Theoretical Physics, Machine Learning, or related field
  • Expertise in quantum algorithms, quantum information theory, and quantum error correction
  • Proficiency with quantum programming frameworks (Qiskit, Cirq, PennyLane)
  • Strong background in AI/ML with 3+ years of applied research experience
  • Publication record in top-tier quantum computing or AI journals
  • Experience with high-performance computing and parallel processing systems
  • Deep understanding of quantum hardware limitations and optimization strategies

Required Skills

Quantum Computing Machine Learning Python C++ Quantum Algorithms Neural Networks Cryptography Research TensorFlow PyTorch

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