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Quantum AI Research Scientist

Nexus Futuristics
Austin
Estimated Salary
USD 180.000 – USD 280.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join Nexus Futuristics at the forefront of technological evolution as we pioneer quantum-computing-integrated AI systems for 2026 and beyond. We seek a visionary Quantum AI Research Scientist to develop next-generation algorithms that will redefine computational boundaries. This role offers unparalleled opportunities to shape the future of machine learning while working with cutting-edge quantum hardware in our state-of-the-art Austin laboratory.

Responsibilities

  • Design and implement quantum machine learning algorithms leveraging qubit entanglement principles
  • Develop hybrid quantum-classical neural networks for real-world problem-solving
  • Collaborate with hardware engineers to optimize quantum circuit implementations
  • Lead research initiatives in quantum error correction for AI applications
  • Publish breakthrough findings in top-tier journals and conferences
  • Mentor junior researchers in quantum computing methodologies
  • Secure and manage research funding through NSF and DARPA proposals

Qualifications

  • PhD in Quantum Computing, Computer Science, or related field (or equivalent experience)
  • 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Published research in quantum machine learning or quantum algorithms
  • Expertise in Python, TensorFlow/PyTorch, and high-performance computing
  • Strong background in linear algebra, probability theory, and quantum mechanics
  • Demonstrated ability to translate theoretical concepts into practical implementations
  • Excellent communication skills for technical and non-technical stakeholders

Required Skills

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

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