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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 200.000 – USD 280.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer the next wave of quantum-AI integration. We're seeking visionary Quantum AI Research Scientists to develop groundbreaking algorithms that will redefine computational boundaries in 2026 and beyond. Our multidisciplinary team operates at the intersection of quantum physics, machine learning, and neural cryptography to solve humanity's most complex challenges. Enjoy unparalleled resources, collaborative innovation spaces, and the opportunity to shape tomorrow's technological landscape.

Responsibilities

  • Design and implement quantum machine learning models leveraging QPUs and hybrid quantum-classical systems
  • Develop novel neural cryptography protocols for secure AI communication frameworks
  • Lead research initiatives in quantum neural networks and probabilistic computing
  • Collaborate with hardware engineers to optimize quantum algorithm performance on proprietary quantum processors
  • Author peer-reviewed publications and patent quantum-AI methodologies
  • Mentor cross-functional teams in quantum computational principles
  • Identify and mitigate quantum vulnerability risks in AI infrastructure

Qualifications

  • PhD in Quantum Computing, Machine Learning, or related computational field
  • 3+ years experience with quantum programming languages (Q#, Quil, or Cirq)
  • Expertise in quantum machine learning frameworks (PennyLane, Qiskit Machine Learning)
  • Published research in quantum algorithms or quantum neural networks
  • Proficiency in Python/C++ with quantum simulation libraries
  • Deep understanding of quantum error correction and fault tolerance
  • Experience with high-performance computing clusters

Required Skills

Quantum Computing Machine Learning Neural Cryptography Q# Python Quantum Machine Learning High-Performance Computing

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