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Quantum AI Research Scientist

Nexus Futura Labs
San Francisco
Estimated Salary
USD 250.000 – USD 400.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Futura Labs at the forefront of technological evolution in 2026. We're pioneering quantum-AI fusion systems that redefine computational boundaries. As a Quantum AI Research Scientist, you'll architect next-generation neural networks operating at quantum coherence levels, developing algorithms that solve previously unsolvable problems in cryptography, climate modeling, and personalized medicine.

Our state-of-the-art facility features proprietary quantum processors and immersive neuro-interfaces. You'll collaborate with Nobel laureates and Turing Award winners in an environment where theoretical physics meets applied AI innovation. We offer competitive equity packages, unlimited sabbaticals, and flexible remote work options for global impact.

Responsibilities

  • Design and implement quantum-enhanced machine learning models leveraging qubit entanglement
  • Lead cross-functional teams in developing AI solutions for quantum-resistant cryptography
  • Publish breakthrough research in top-tier journals and conferences
  • Optimize quantum neural networks for real-time industrial applications
  • Mentor junior researchers in quantum computing principles and AI ethics
  • Secure $2M+ in annual research grants from NSF and DARPA
  • Develop patentable quantum algorithms with commercialization potential

Qualifications

  • PhD in Quantum Computing, Theoretical Physics, or Machine Learning
  • 3+ years experience with quantum programming (Qiskit, Cirq, or Q#)
  • Published research in Nature/Science or equivalent journals
  • Expertise in tensor networks and quantum error correction
  • Strong background in deep learning frameworks (PyTorch/TensorFlow)
  • Experience with high-performance computing clusters
  • Proficiency in Python, C++, and quantum assembly languages
  • Demonstrated ability to secure government research funding

Required Skills

Quantum Computing Machine Learning Qiskit Cirq Python Deep Learning Cryptography Tensor Networks High-Performance Computing

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