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Quantum AI Research Scientist

Nexus Quantum Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join the forefront of technological evolution as a Quantum AI Research Scientist at Nexus Quantum Dynamics. We're pioneering the next wave of computational intelligence that will redefine industries by 2026. In this cutting-edge role, you'll design and implement quantum algorithms that accelerate machine learning breakthroughs, collaborate with Nobel laureates, and contribute to patent-pending technologies that will shape humanity's digital future. Our state-of-the-art lab offers unparalleled resources including 128-qubit quantum processors and a team of world-class physicists. This isn't just a jobβ€”it's your chance to build the foundations of tomorrow's computational universe.

Why Nexus Quantum Dynamics?
β€’ Industry-leading quantum computing infrastructure
β€’ Flexible hybrid work policy with 4-day work weeks
β€’ Annual research stipend of $50,000 for conferences and experiments
β€’ Equity participation in pre-IPO quantum ventures

Responsibilities

  • Design and implement quantum machine learning algorithms for real-world applications
  • Lead cross-functional teams in developing fault-tolerant quantum neural networks
  • Conduct groundbreaking research in quantum-enhanced optimization techniques
  • Collaborate with hardware teams to co-design quantum-classical hybrid systems
  • Publish peer-reviewed papers in top-tier journals (Nature, Science, etc.)
  • Develop quantum security protocols for next-gen AI infrastructure
  • Mentor junior researchers and PhD candidates in quantum computing
  • Secure $2M+ in annual research grants from government/private partners

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 5+ years of experience in quantum algorithm development
  • Proficiency with quantum programming languages (Q#, Qiskit, Cirq)
  • Published research in quantum machine learning or quantum information theory
  • Deep understanding of quantum error correction and fault tolerance
  • Experience with high-performance computing clusters and GPU acceleration
  • Strong background in linear algebra, probability, and complex analysis
  • Track record of securing research funding or industry partnerships

Required Skills

Quantum Computing Machine Learning Qiskit Q# Fault Tolerance Algorithm Design High-Performance Computing Quantum Information Theory Research Leadership

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