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Quantum AI Research Scientist

Nexus Dynamics Inc.
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Dynamics Inc. at the forefront of 2026's technological revolution! We're seeking a visionary Quantum AI Research Scientist to pioneer breakthroughs in quantum machine learning and autonomous systems. Our Austin-based innovation hub offers unparalleled resources to transform theoretical quantum concepts into real-world applications that will reshape industries.

This role is your chance to collaborate with Nobel laureates and disrupt industries by developing quantum neural networks, quantum-resistant encryption protocols, and next-gen AI models. You'll access our state-of-the-art quantum lab and work with a multidisciplinary team of physicists, computer scientists, and engineers pushing the boundaries of what's possible.

If you're driven by curiosity and ready to solve humanity's most complex challenges through quantum-AI convergence, this is your moment to make history.

Responsibilities

  • Design and implement quantum algorithms for machine learning optimization and AI acceleration
  • Develop novel quantum-resistant cryptographic systems for next-gen cybersecurity
  • Lead research in quantum neural networks and hybrid quantum-classical computing architectures
  • Collaborate with hardware teams to prototype quantum processors and error-correction methods
  • Publish groundbreaking research in top-tier journals and present at international quantum conferences
  • Mentor junior researchers and drive innovation in quantum-AI integration strategies
  • Secure research grants and partnerships with leading quantum computing institutions

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • Expertise in quantum computing frameworks (Qiskit, Cirq, or Q#)
  • Deep understanding of quantum algorithms, quantum information theory, and machine learning
  • Proven track record of peer-reviewed publications in quantum/AI research
  • Proficiency in Python, TensorFlow/PyTorch, and high-performance computing environments
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, or IonQ)
  • Strong background in cryptography and cybersecurity principles
  • Ability to translate complex quantum concepts into practical engineering solutions

Required Skills

Quantum Computing Machine Learning Quantum Algorithms Cryptography Python TensorFlow Qiskit Quantum Hardware AI Research

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