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2026 Quantum AI Architect

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

Job Description

Join Nexus Quantum Dynamics at the forefront of technological evolution as we pioneer the next wave of quantum-AI convergence. We're seeking a visionary 2026 Quantum AI Architect to design and deploy hybrid quantum-AI systems that will redefine computational paradigms. This role bridges theoretical physics and cutting-edge machine learning to solve previously unsolvable challenges in cryptography, materials science, and autonomous systems. You'll work in our state-of-the-art San Francisco lab alongside Nobel laureates and industry disruptors.

We offer competitive equity packages, flexible work arrangements, and unparalleled opportunities to shape humanity's technological trajectory. If you're passionate about building the computational infrastructure for 2026 and beyond, this is your calling.

Responsibilities

  • Architect scalable quantum-AI hybrid systems for enterprise applications
  • Design error-corrected quantum circuits integrated with deep learning frameworks
  • Lead cross-functional teams in prototyping next-gen quantum algorithms
  • Develop patent-pending methodologies for quantum machine learning optimization
  • Collaborate with hardware teams to co-design quantum processors and AI accelerators
  • Translate complex quantum concepts into actionable engineering specifications
  • Publish breakthrough research in peer-reviewed journals and industry conferences

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 5+ years in quantum algorithm development or advanced AI architecture
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and ML frameworks
  • Published work in quantum machine learning or quantum error correction
  • Experience with superconducting or photonic quantum computing hardware
  • Demonstrated ability to lead complex technical projects from concept to deployment
  • Deep understanding of quantum complexity theory and computational limitations
  • Strong background in distributed systems and high-performance computing

Required Skills

Quantum Computing Machine Learning AI Architecture Quantum Algorithms Error Correction Cirq Qiskit Distributed Systems High-Performance Computing

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