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Quantum AI Research Scientist 2026

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer breakthroughs at the intersection of quantum computing and artificial intelligence. We seek a visionary Quantum AI Research Scientist to architect solutions that will redefine 2026's digital landscape. This role offers unparalleled opportunities to collaborate with Nobel laureates and industry disruptors in our state-of-the-art R&D facility.

As a key member of our Future Intelligence division, you'll develop novel algorithms for quantum machine learning, optimize quantum neural networks, and contribute to patent-pending frameworks that will shape the next generation of computational paradigms. Our commitment to boundary-pushing research is matched only by our dedication to your professional growth through cutting-edge training and global conference participation.

Responsibilities

  • Design and implement quantum machine learning algorithms for 2026-era computational challenges
  • Lead cross-functional teams in developing hybrid quantum-classical AI architectures
  • Conduct theoretical research in quantum neural networks and quantum information theory
  • Collaborate with hardware engineers to optimize quantum circuit performance
  • Author peer-reviewed publications and secure intellectual property protections
  • Mentor junior researchers in quantum computing methodologies
  • Present breakthrough findings at international technology symposia

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 5+ years research experience
  • Published work in quantum machine learning or quantum information theory
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, or PennyLane)
  • Expertise in Python, TensorFlow/PyTorch, and high-performance computing
  • Demonstrated ability to translate theoretical concepts into practical implementations
  • Experience securing research grants and managing academic partnerships
  • Deep understanding of quantum error correction and fault tolerance

Required Skills

Quantum Computing Machine Learning Python TensorFlow Qiskit Neural Networks High-Performance Computing Quantum Information Theory

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