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Quantum AI Research Lead

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

Job Description

Join Nexus Labs at the forefront of technological evolution. We're pioneering the fusion of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Lead, you'll architect breakthrough systems that will redefine computing paradigms by 2026. Our state-of-the-art lab in San Francisco offers unparalleled resources and a collaborative environment where your innovations can transform industries.

We're seeking visionary researchers who thrive at the intersection of physics, machine learning, and software engineering. You'll lead a multidisciplinary team to develop scalable quantum algorithms and hybrid AI models that outperform classical systems. This isn't just a jobβ€”it's your chance to shape the technological landscape of the next decade.

Responsibilities

  • Design and implement novel quantum algorithms for machine learning applications
  • Lead research in quantum neural networks and hybrid quantum-classical systems
  • Develop error correction protocols for practical quantum computing implementations
  • Collaborate with hardware teams to optimize quantum-AI co-design architectures
  • Publish groundbreaking research in top-tier journals and conferences
  • Secure and manage research funding from government and private sector partners
  • Mentor junior researchers and foster an innovative lab culture

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 5+ years of experience in quantum algorithm development or quantum machine learning
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq) and high-performance computing
  • Proven track record of publishing in quantum/AI research areas
  • Strong background in linear algebra, probability theory, and quantum information theory
  • Experience leading cross-functional research teams and managing complex projects
  • Demonstrated ability to translate theoretical concepts into practical implementations
  • Preferred: Industry experience with quantum hardware platforms (e.g., IBM Quantum, Rigetti)

Required Skills

Quantum Computing Machine Learning Quantum Algorithms Python C++ Qiskit Q# Research Leadership Quantum Error Correction Neural Networks

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