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Quantum AI Research Scientist 2026

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Innovations at the forefront of technological evolution! We're seeking a visionary Quantum AI Research Scientist to pioneer breakthroughs that will define 2026 and beyond. As a key member of our Future Technologies Division, you'll collaborate with Nobel laureates and industry disruptors to develop quantum neural networks and next-gen AI systems. Our state-of-the-art lab in San Francisco offers unparalleled resources, including 512-qubit quantum processors and exascale computing clusters. Shape the future of human-machine interaction while enjoying competitive compensation, flexible work arrangements, and cutting-edge professional development.

Responsibilities

  • Lead R&D initiatives in quantum machine learning and autonomous systems
  • Design and implement novel algorithms for quantum neural networks
  • Collaborate with hardware teams to optimize quantum-AI hybrid architectures
  • Publish groundbreaking research in top-tier journals and conferences
  • Secure patents for proprietary quantum computing methodologies
  • Mentor junior researchers and cross-functional innovation teams
  • Develop ethical frameworks for next-generation AI deployment

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 5+ years in quantum algorithm development or AI research
  • Proficiency in Qiskit, Cirq, or similar quantum programming frameworks
  • Published work in Nature/Science or top-tier conferences (NeurIPS, QIP)
  • Expertise in tensor networks and quantum error correction
  • Strong background in deep learning and reinforcement learning
  • Experience with high-performance computing clusters (HPC)
  • Track record of translating theory into practical applications

Required Skills

Quantum Computing Machine Learning Neural Networks Python Qiskit Tensor Networks AI Ethics HPC Research

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