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Quantum AI Research Scientist (2026)

Nexus Futures Inc
Austin
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Futures Inc at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence solutions that will redefine computing paradigms. As our Quantum AI Research Scientist, you'll architect next-generation algorithms at the intersection of quantum mechanics and machine learning, working in our state-of-the-art Austin lab with world-class physicists and engineers.

This role offers unparalleled opportunities to shape humanity's technological future while enjoying competitive compensation, flexible work arrangements, and exposure to groundbreaking projects in quantum supremacy, neural-quantum interfaces, and autonomous AI systems. Your work will directly impact industries from healthcare to aerospace as we prepare for the quantum computing breakthrough of 2026.

Responsibilities

  • Design and implement hybrid quantum-classical machine learning algorithms for 2026-era computing challenges
  • Lead research on quantum neural networks and quantum-enhanced deep learning architectures
  • Develop error-correction protocols for practical quantum AI systems
  • Collaborate with hardware teams to optimize quantum-AI co-design strategies
  • Publish breakthrough research in top-tier quantum computing and AI conferences
  • Mentor junior researchers in quantum machine learning methodologies
  • Translate theoretical advances into scalable industrial applications

Qualifications

  • PhD in Quantum Computing, Theoretical Physics, or Machine Learning with 3+ years industry experience
  • Expertise in quantum algorithms (QAOA, VQE, quantum annealing) and quantum programming languages
  • Proficiency in Python, C++, and quantum frameworks (Qiskit, Cirq, PennyLane)
  • Deep understanding of tensor networks and quantum machine learning theory
  • Track record of publications in Nature/Science or top-tier quantum/AI conferences
  • Experience with high-performance computing and distributed quantum systems
  • Strong background in statistical physics and information theory
  • Certification in quantum hardware operations (e.g., IBM Qiskit, Rigetti)

Required Skills

Quantum Computing Machine Learning Python C++ Qiskit Cirq PennyLane Tensor Networks Quantum Algorithms High-Performance Computing

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