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Quantum AI Research Scientist

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

Job Description

Join Nexus Future Labs at the forefront of 2026's technological revolution as we pioneer quantum-computing-powered artificial intelligence. We're seeking a visionary Quantum AI Research Scientist to develop groundbreaking algorithms that will redefine machine learning, cryptography, and computational physics. Our team operates at the intersection of quantum mechanics and deep learning, solving problems previously deemed unsolvable. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art lab, with resources including IBM's quantum cloud infrastructure and NVIDIA's latest GPU clusters. This role offers unparalleled opportunities to shape the future of human-computer interaction and accelerate breakthroughs in autonomous systems, climate modeling, and personalized medicine.

Responsibilities

  • Design and implement quantum machine learning algorithms leveraging Qiskit and Cirq frameworks
  • Lead research initiatives in quantum neural networks and hybrid quantum-classical computing models
  • Develop novel approaches for quantum-resistant cryptography and secure AI systems
  • Collaborate with hardware teams to optimize quantum algorithms for next-generation processors
  • Publish findings in top-tier journals (Nature, Science, IEEE) and present at global conferences
  • Mentor junior researchers and contribute to open-source quantum AI projects
  • Secure patents for breakthrough quantum-computing methodologies

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years of hands-on experience with quantum programming languages (Q#, Qiskit, PyQuil)
  • Expertise in quantum algorithms (Shor's, Grover's, VQE) and error correction techniques
  • Strong publication record in quantum machine learning or quantum information theory
  • Proficiency in Python, TensorFlow/PyTorch, and high-performance computing frameworks
  • Demonstrated ability to translate complex quantum concepts into practical AI solutions
  • Experience with cloud quantum platforms (IBM Quantum, Amazon Braket, Microsoft Azure Quantum)
  • Preferred: Background in topological quantum computing or quantum annealing

Required Skills

Quantum Computing Machine Learning Python Qiskit Cirq TensorFlow Cryptography High-Performance Computing Quantum Algorithms Research

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