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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Research Scientist

Nexus Dynamics
Austin
Estimated Salary
USD 180.000 – USD 280.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join Nexus Dynamics at the forefront of technological evolution as we pioneer the convergence of quantum computing and artificial intelligence. We're seeking visionary Quantum AI Research Scientists to architect breakthrough solutions that will redefine humanity's technological landscape by 2026. Our Austin-based innovation hub offers unparalleled resources to transform theoretical concepts into tangible applications.

This role provides the unique opportunity to collaborate with Nobel laureates and industry pioneers while developing next-generation quantum algorithms, neural networks, and autonomous systems. We offer competitive equity packages, flexible work arrangements, and dedicated R&D budgets to accelerate your groundbreaking research.

Responsibilities

  • Design and implement quantum algorithms for machine learning optimization and AI model acceleration
  • Lead cross-functional teams in developing quantum neural networks for real-world applications
  • Author peer-reviewed publications and patents in quantum-AI convergence domains
  • Architect hybrid quantum-classical computing frameworks for enterprise-scale deployment
  • Collaborate with hardware teams to optimize quantum system performance
  • Develop ethical frameworks for responsible quantum AI deployment
  • Present research findings at global technology summits and conferences

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field with 3+ years research experience
  • Published work in quantum machine learning or quantum algorithms (arXiv, Nature, Science)
  • Expert proficiency in quantum programming frameworks (Qiskit, Cirq, Q#) and classical ML libraries
  • Deep understanding of quantum error correction and fault-tolerant architectures
  • Experience with high-performance computing clusters and GPU acceleration
  • Demonstrated ability to translate complex theoretical concepts into practical implementations
  • Strong background in cryptography, information theory, or computational complexity

Required Skills

Quantum Computing Machine Learning Quantum Algorithms AI Research Python TensorFlow PyTorch Qiskit C++ High-Performance Computing

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