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Quantum AI Research Lead

Nexus Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join Nexus Dynamics at the forefront of 2026's technological revolution. We're pioneering quantum-AI fusion systems that will redefine computational boundaries. As our Quantum AI Research Lead, you'll architect next-gen algorithms merging quantum coherence with neural networks, driving breakthroughs in cryptography, materials science, and autonomous systems. This role offers unparalleled opportunities to shape humanity's digital future in our state-of-the-art Embarcadero research facility.

Responsibilities

  • Design and implement quantum-AI hybrid algorithms for complex problem-solving
  • Lead cross-disciplinary teams of physicists, ML engineers, and domain experts
  • Develop error-correction protocols for quantum neural networks
  • Collaborate with hardware teams to optimize quantum-AI system integration
  • Publish breakthrough research in top-tier journals and conferences
  • Secure $2M+ annual research funding through NIH/NASA partnerships
  • Mentor PhD candidates in quantum machine learning methodologies

Qualifications

  • PhD in Quantum Computing, Physics, or Machine Learning
  • 5+ years experience in quantum algorithm development
  • Expertise in Qiskit, Cirq, or quantum ML frameworks
  • Published research in Nature/Science or equivalent tier journals
  • Proven track record of securing federal research grants
  • Proficiency in tensor networks and quantum error correction
  • Strong Python/C++ with high-performance computing skills
  • Experience with AWS Braket or Azure Quantum platforms

Required Skills

Quantum Computing Machine Learning Algorithm Design Quantum Error Correction Neural Networks Research Leadership Federal Grant Writing Qiskit

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