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Quantum AI Research Scientist

Nexus Quantum Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join Nexus Quantum Solutions at the forefront of 2026's technological revolution. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll develop groundbreaking algorithms in our state-of-the-art lab, collaborating with Nobel laureates and industry disruptors. Shape the future of autonomous systems, drug discovery, and climate modeling while enjoying competitive benefits, flexible work arrangements, and equity in a rapidly scaling unicorn.

Responsibilities

  • Design and implement quantum machine learning algorithms for next-gen AI systems
  • Lead cross-functional teams in developing hybrid quantum-classical computing frameworks
  • Publish research in top-tier journals and present at global tech conferences
  • Optimize quantum error correction protocols for scalable AI applications
  • Collaborate with hardware teams to co-design quantum processors optimized for ML workloads
  • Secure $5M+ in research grants and industry partnerships
  • Mentor PhD candidates in quantum AI research methodologies

Qualifications

  • PhD in Quantum Computing, Machine Learning, or Physics (with 3+ years postdoc experience)
  • Published research in Nature/Science or equivalent peer-reviewed journals
  • Expertise in quantum programming languages (Qiskit, Cirq, or Q#)
  • Proficiency in Python, TensorFlow/PyTorch, and HPC frameworks
  • Deep understanding of quantum algorithms (Shor's, Grover's, VQE)
  • Experience with quantum hardware (IBM Quantum, Rigetti, or IonQ)
  • Strong track record of securing research funding and patents

Required Skills

Quantum Computing Machine Learning Python Qiskit TensorFlow Quantum Algorithms Research HPC AI Ethics

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