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Quantum AI Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer breakthroughs in quantum computing and artificial intelligence for 2026. We're seeking a visionary Quantum AI Research Scientist to develop next-generation algorithms that will redefine computational boundaries. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical concepts into practical solutions.

As a key member of our elite research team, you'll collaborate with Nobel laureates and industry pioneers to solve humanity's most complex challenges. We offer competitive compensation, flexible work arrangements, and opportunities to publish groundbreaking research in top-tier journals.

Responsibilities

  • Design and implement quantum machine learning algorithms for 2026-era computational challenges
  • Lead cross-functional teams in developing hybrid quantum-classical computing frameworks
  • Conduct advanced research in quantum error correction and fault-tolerant systems
  • Translate theoretical quantum AI models into scalable industrial applications
  • Publish peer-reviewed research and present findings at global tech conferences
  • Mentor junior researchers and contribute to patent development

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 (PyTorch, TensorFlow) and quantum neural networks
  • Strong publication record in quantum computing or AI research
  • Proficiency in high-performance computing environments and parallel processing
  • Demonstrated ability to translate complex theory into practical implementations
  • Entrepreneurial mindset with passion for 2026 technology roadmaps

Required Skills

Quantum Computing Machine Learning Python C++ Qiskit TensorFlow PyTorch High-Performance Computing Research

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