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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer the next era of computing. We seek a visionary Quantum AI Research Scientist to architect breakthrough solutions that will redefine industries by 2026. This role offers unparalleled resources to explore the intersection of quantum mechanics, artificial intelligence, and machine learning in a collaborative, future-forward environment.

You will lead cutting-edge research initiatives, develop novel algorithms, and collaborate with world-class teams to solve humanity's most complex challenges. Our commitment to innovation is matched only by our investment in your growth through mentorship, conferences, and state-of-the-art facilities.

Responsibilities

  • Design and implement quantum algorithms for AI optimization and machine learning acceleration
  • Lead cross-functional teams in prototyping quantum neural networks and hybrid quantum-classical systems
  • Publish high-impact research in peer-reviewed journals and present at international conferences
  • Collaborate with hardware engineers to integrate quantum processors with classical AI frameworks
  • Develop ethical frameworks for quantum AI deployment and bias mitigation
  • Secure research funding through grant proposals and industry partnerships
  • Mentor junior researchers and foster an inclusive innovation culture

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, or similar)
  • Expertise in machine learning frameworks (TensorFlow, PyTorch) and high-performance computing
  • Published research in quantum algorithms or AI optimization
  • Strong mathematical background in linear algebra, probability, and information theory
  • Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
  • Demonstrated ability to lead complex R&D projects from concept to prototype

Required Skills

Quantum Computing Machine Learning Python C++ TensorFlow Qiskit Neural Networks High-Performance Computing

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