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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum-AI integration for 2026 and beyond. We're seeking a visionary Quantum AI Research Scientist to develop groundbreaking algorithms that bridge quantum computing and artificial intelligence. You'll work in our Austin R&D hub, collaborating with Nobel laureates and industry pioneers to solve humanity's most complex challenges. This role offers unparalleled resources, including access to IBM Quantum systems and NVIDIA's latest AI supercomputers. If you're passionate about shaping the technological landscape of tomorrow, this is your moment.

Responsibilities

  • Design and implement hybrid quantum-AI algorithms for computational optimization
  • Lead research initiatives in quantum machine learning and neural network acceleration
  • Develop error-correction protocols for quantum-AI hybrid systems
  • Collaborate with hardware teams to optimize quantum-AI integration
  • Publish breakthrough research in top-tier journals and conferences
  • Secure $5M+ in quantum computing research grants
  • Mentor PhD candidates in quantum-AI methodologies

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 3+ years hands-on experience with quantum programming (Qiskit, Cirq, or Q#)
  • Published research in quantum machine learning or quantum algorithms
  • Expertise in AI/ML frameworks (PyTorch, TensorFlow) and high-performance computing
  • Strong mathematical background in linear algebra, probability, and information theory
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, or IonQ)
  • Track record of securing research funding or patents

Required Skills

Quantum Computing Machine Learning AI Research Algorithm Development Quantum Programming High-Performance Computing Research Methodology Scientific Publication

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