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Quantum AI Research Scientist

Nexus Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Dynamics at the forefront of 2026's technological revolution! We're pioneering the fusion of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect next-gen algorithms that redefine computational boundaries. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical breakthroughs into real-world applications. If you're passionate about pushing the limits of science and technology, this is your opportunity to shape the future.

Responsibilities

  • Design and implement quantum machine learning models for advanced data processing
  • Lead cross-functional teams in developing quantum-resistant cryptographic systems
  • Optimize quantum algorithms for real-world scalability and performance
  • Collaborate with hardware engineers to bridge quantum software-hardware integration
  • Publish groundbreaking research in top-tier scientific journals and conferences
  • Drive innovation in quantum neural networks and computational biology
  • Mentor junior researchers and foster a culture of scientific excellence

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 5+ years of experience in quantum algorithm development and implementation
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Strong background in AI/ML frameworks (TensorFlow, PyTorch) and classical computing
  • Proven track record of publishing peer-reviewed research in quantum technologies
  • Proficiency with quantum simulation tools and high-performance computing environments
  • Exceptional problem-solving skills with ability to tackle abstract theoretical challenges

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Quantum Algorithms Cryptography Q# Qiskit TensorFlow High-Performance Computing

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