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Quantum AI Research Scientist

NeuroQuant Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Shape the future of human-AI symbiosis at NeuroQuant Labs. We're pioneering the intersection of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll develop breakthrough algorithms that leverage quantum properties to accelerate machine learning capabilities beyond classical limits. Join our multidisciplinary team of Nobel laureates, quantum physicists, and AI pioneers in our state-of-the-art San Francisco facility where we're building the next generation of cognitive systems.

This role offers unparalleled access to our quantum annealing clusters and neuromorphic computing infrastructure. You'll collaborate with government agencies and Fortune 500 partners to implement quantum-optimized solutions in cryptography, drug discovery, and climate modeling. We provide competitive equity packages, unlimited research budgets, and flexible work arrangements designed for maximum innovation.

Responsibilities

  • Design and implement quantum-enhanced machine learning algorithms for next-gen AI systems
  • Develop novel quantum neural network architectures leveraging qubit entanglement properties
  • Lead cross-functional research initiatives combining quantum computing with deep learning frameworks
  • Optimize quantum circuit designs for error-resilient AI training processes
  • Publish breakthrough research in Nature/Science journals and present at major conferences
  • Secure research partnerships with academic institutions and industry leaders
  • Mentor PhD candidates and junior researchers in quantum AI methodologies

Qualifications

  • PhD in Quantum Computing, Machine Learning, Physics, or Computer Science (or equivalent experience)
  • Expertise in quantum programming languages (Qiskit, Cirq, Q#) and quantum circuit optimization
  • Proven track record of publishing in top-tier AI/quantum computing journals
  • Strong background in quantum mechanics, linear algebra, and information theory
  • Experience with large-scale distributed computing frameworks (TensorFlow, PyTorch)
  • Proficiency in Python, C++, and quantum simulation software
  • Demonstrated ability to secure research grants exceeding $1M

Required Skills

Quantum Computing Machine Learning Qiskit Cirq TensorFlow Python C++ Quantum Algorithms Neuromorphic Computing

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