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Quantum AI Research Scientist

NexusLabs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join NexusLabs at the forefront of 2026's technological revolution as a Quantum AI Research Scientist. We're pioneering the fusion of quantum computing and artificial intelligence to solve humanity's most complex challenges. This role offers unparalleled opportunity to shape the future of computational science while working with Nobel laureates and industry pioneers in our state-of-the-art San Francisco R&D center.

What makes this role extraordinary:

  • Access to quantum annealing hardware and GPU-accelerated AI clusters
  • Collaborate with MIT and Caltech research partners
  • Lead projects in quantum machine learning and cryptography
  • Competitive equity package with patent-sharing opportunities
  • Flexible hybrid work with quarterly innovation retreats

Responsibilities

  • Design and implement quantum algorithms for AI optimization problems
  • Develop hybrid quantum-classical neural network architectures
  • Lead cross-functional teams in prototyping quantum-accelerated solutions
  • Publish breakthrough research in top-tier journals/conferences
  • Secure government and private research grants
  • Mentor junior researchers in quantum computing principles
  • Collaborate with hardware teams to co-design quantum processors
  • Present findings to C-suite executives and venture partners

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science
  • 3+ years of quantum algorithm development experience
  • Proficiency in Qiskit, Cirq, and quantum error correction
  • Published research in quantum machine learning or cryptography
  • Expertise in Python, TensorFlow, and high-performance computing
  • Strong background in linear algebra and quantum mechanics
  • Experience securing research grants ($500k+ preferred)
  • Demonstrated ability to translate complex theory to commercial applications

Required Skills

Quantum Computing Machine Learning Quantum Algorithms Python TensorFlow Qiskit Cryptography High-Performance Computing Research AI Optimization

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