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Quantum AI Research Scientist

Nexus Futures
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join Nexus Futures at the forefront of 2026's technological revolution. We're pioneering quantum-AI fusion systems to solve humanity's greatest challenges. As a Quantum AI Research Scientist, you'll collaborate with Nobel laureates and disruptors in our state-of-the-art San Francisco lab. Our team develops proprietary algorithms that merge quantum computing with neural networks, enabling breakthroughs in drug discovery and climate modeling.

We offer equity, unlimited PTO, and comprehensive benefits. This role requires 20% dedicated R&D time for your own innovation projects. Help shape the technologies that will define the next decade.

Responsibilities

  • Design and implement quantum-AI hybrid algorithms for complex optimization problems
  • Lead cross-functional teams of physicists and ML engineers on cutting-edge projects
  • Develop proprietary quantum error-correction techniques for scalable systems
  • Publish research in top-tier journals and present at IEEE Quantum Week
  • Collaborate with product teams to commercialize research breakthroughs
  • Mentor junior researchers and drive innovation through quarterly hackathons
  • Secure $2M+ in annual research grants from DARPA and NSF

Qualifications

  • PhD in Quantum Computing, AI, or related field (or equivalent experience)
  • 3+ years experience with quantum programming (Qiskit, Cirq, or Q#)
  • Published research in quantum machine learning or quantum algorithms
  • Expertise in Python, TensorFlow, and high-performance computing
  • Deep understanding of quantum entanglement and decoherence mitigation
  • Proven track record of translating theory into practical applications
  • Experience securing government research grants
  • Strong background in linear algebra and quantum information theory

Required Skills

Quantum Computing Machine Learning Python Qiskit TensorFlow Quantum Algorithms High-Performance Computing Research Grants

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