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Quantum AI Research Scientist

Nexus Innovations
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Shape the future at Nexus Innovations, where quantum computing meets artificial intelligence. We're pioneering the next frontier of computational intelligence, and we need visionary minds to lead the charge. As a Quantum AI Research Scientist, you'll design breakthrough algorithms that solve previously impossible problems in cryptography, materials science, and autonomous systems. Our Austin-based lab offers unparalleled resources, including quantum annealers and neural network accelerators, to transform theoretical concepts into real-world applications.

Join our cross-disciplinary team of physicists, machine learning engineers, and computational biologists in a culture that rewards bold experimentation. We provide competitive compensation, flexible work arrangements, and opportunities to collaborate with global research institutions. Your work will directly impact industries from healthcare to space exploration, pushing the boundaries of what's computationally possible.

Responsibilities

  • Design and implement hybrid quantum-classical machine learning models for complex data analysis
  • Develop novel quantum algorithms to optimize AI training processes and reduce computational overhead
  • Lead research projects in quantum neural networks and quantum-enhanced deep learning architectures
  • Collaborate with hardware teams to prototype quantum AI applications on real quantum processors
  • Publish groundbreaking research in peer-reviewed journals and present at international conferences
  • Mentor junior researchers and contribute to patent development for quantum AI innovations

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years of experience in quantum algorithm development or quantum machine learning
  • Expertise in Python, Qiskit, Cirq, and quantum simulation frameworks
  • Strong background in linear algebra, quantum mechanics, and neural network architectures
  • Published research in quantum computing or AI (NeurIPS, QIP, Nature journals)
  • Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
  • Demonstrated ability to translate theoretical concepts into practical implementations

Required Skills

Quantum Computing Machine Learning Python Qiskit Cirq Neural Networks Quantum Algorithms AI Research

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