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2026 Quantum AI Architect

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

Job Description

Join Nexus Technologies at the forefront of 2026's technological revolution! We're seeking a visionary Quantum AI Architect to design next-generation systems that bridge quantum computing and artificial intelligence. Lead groundbreaking research, develop scalable quantum neural networks, and shape the future of human-machine collaboration. This role offers unparalleled opportunities to work with Nobel laureates and industry pioneers in our state-of-the-art quantum lab.

What you'll achieve: Architect quantum-resistant AI frameworks, pioneer post-quantum cryptography solutions, and mentor a team of quantum engineers. Your innovations will directly impact industries from healthcare to climate modeling.

Responsibilities

  • Design and implement quantum neural network architectures for 2026-era AI applications
  • Lead cross-functional teams in developing quantum-resistant machine learning algorithms
  • Establish protocols for quantum-safe AI deployment in high-stakes environments
  • Research and integrate emerging quantum computing technologies with AI frameworks
  • Collaborate with academic institutions on quantum-AI hybrid systems
  • Develop patentable solutions for quantum-optimized deep learning
  • Mentor junior quantum engineers in cutting-edge methodologies

Qualifications

  • PhD in Quantum Computing, Computer Science, or Physics (or equivalent experience)
  • 5+ years in quantum algorithm development or quantum machine learning
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Published research in top-tier quantum/AI conferences (e.g., QIP, NeurIPS)
  • Deep understanding of quantum error correction and fault tolerance
  • Experience with hybrid quantum-classical computing systems
  • Strong background in cryptography and post-quantum security

Required Skills

Quantum Computing Machine Learning Qiskit Q# Cryptography Neural Networks Algorithm Design High-Performance Computing

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