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2026 Quantum AI Research Lead

Nexus Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join Nexus Dynamics at the forefront of technological evolution as we pioneer 2026's quantum-AI convergence. Lead a multidisciplinary team to develop next-gen computational frameworks that will redefine industries. This role offers unparalleled opportunity to shape humanity's digital future while working with cutting-edge quantum processors and adaptive neural networks.

Why Nexus? We're not just building technology – we're architecting the next paradigm shift. Our state-of-the-art facility in San Francisco's tech hub offers hybrid flexibility, unlimited learning resources, and equity in a company valued at $2B+.

Responsibilities

  • Architect quantum-AI hybrid systems for 2026 commercial applications
  • Lead 8-person R&D team through experimental validation cycles
  • Collaborate with MIT and Stanford on quantum error correction protocols
  • Translate theoretical models into production-grade implementations
  • Present breakthrough findings at global tech summits
  • Drive patent portfolio expansion in quantum machine learning
  • Mentor next-gen quantum engineers

Qualifications

  • PhD in Quantum Computing or Machine Learning (or equivalent experience)
  • 5+ years in quantum algorithm development
  • Published research in Nature/Science journals
  • Expertise in Qiskit, Cirq, or similar quantum frameworks
  • Proficiency in Python/C++ with low-level optimization
  • Track record of commercializing quantum solutions
  • Security clearance preferred for DoD projects

Required Skills

Quantum Computing Machine Learning Python C++ Qiskit Neural Networks Algorithm Design Low-Level Optimization

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