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Quantum AI Research Scientist

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

Job Description

Join the forefront of technological evolution at Nexus Quantum Labs! We're pioneering the intersection of quantum computing and artificial intelligence to solve humanity's greatest challenges. As a Quantum AI Research Scientist, you'll work in our state-of-the-art Austin facility, collaborating with Nobel laureates and industry disruptors to develop breakthrough algorithms that will shape the 2030s digital landscape.

We offer unparalleled resources, flexible hybrid work arrangements, and a culture where curiosity fuels innovation. Your research will directly impact fields from climate modeling to personalized medicine, with opportunities to publish in top-tier journals and present at global conferences.

Responsibilities

  • Design and implement quantum machine learning models for complex optimization problems
  • Lead cross-functional teams in prototyping quantum neural networks
  • Develop novel error-correction protocols for quantum-AI hybrid systems
  • Collaborate with hardware teams to co-design quantum-AI accelerators
  • Translate theoretical research into scalable production algorithms
  • Secure federal grants and industry partnerships for quantum-AI initiatives
  • Mentor PhD candidates and publish in Nature/Science journals

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of experience with quantum algorithms or quantum machine learning
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, or PennyLane)
  • Deep understanding of quantum error correction and fault tolerance
  • Published research in peer-reviewed quantum/AI journals
  • Expertise in Python, TensorFlow/PyTorch, and high-performance computing
  • Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)

Required Skills

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

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