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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Research Scientist

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. We're seeking visionary researchers to develop breakthrough algorithms that will redefine computational capabilities by 2026. Our Austin campus offers state-of-the-art facilities and a collaborative environment where your innovations could shape humanity's digital future.

As a key member of our Quantum AI division, you'll work alongside Nobel Prize-winning physicists and Turing Award-winning computer scientists. We offer competitive equity packages, flexible work arrangements, and dedicated R&D budgets for unconventional experimentation.

Responsibilities

  • Design and implement quantum machine learning models for real-world applications
  • Lead cross-functional projects bridging quantum hardware and AI software development
  • Publish groundbreaking research in top-tier journals and conferences
  • Collaborate with hardware teams to optimize quantum algorithm performance
  • Develop novel error-correction techniques for quantum neural networks
  • Secure patents for proprietary quantum-AI methodologies

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development
  • Published research in quantum machine learning or quantum information theory
  • Proficiency in Qiskit, Cirq, or equivalent quantum programming frameworks
  • Expertise in Python, TensorFlow/PyTorch, and high-performance computing
  • Deep understanding of quantum entanglement and decoherence mitigation
  • Track record of translating theoretical concepts into practical implementations

Required Skills

Quantum Computing Machine Learning Quantum Algorithms Qiskit Python TensorFlow High-Performance Computing Quantum Error Correction

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