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Quantum AI Architect 2026

Nexus Frontier Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Shape the technological landscape of tomorrow at Nexus Frontier Labs. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Architect in our 2026 initiative, you'll architect next-generation systems that redefine computational boundaries. Join a cohort of world-class researchers in our state-of-the-art facility where breakthroughs become reality.

This role offers unparalleled opportunities to work with cutting-edge hardware and collaborate with Nobel laureates. We provide competitive equity packages, flexible remote work options, and a comprehensive benefits package including health, dental, and vision insurance. Your work will directly impact industries from healthcare to climate modeling.

Responsibilities

  • Design and implement hybrid quantum-classical AI architectures for complex problem domains
  • Lead research initiatives in quantum machine learning algorithms and error correction protocols
  • Collaborate with hardware teams to optimize quantum circuit performance
  • Develop scalable frameworks for quantum neural networks and generative models
  • Present breakthrough findings at premier academic conferences and industry symposia
  • Mentor cross-functional teams in quantum computing principles and best practices
  • Secure patents and publish high-impact research in top-tier journals

Qualifications

  • PhD in Quantum Computing, Computer Science, or Physics (MS with exceptional experience considered)
  • 5+ years of experience in AI/ML systems with quantum computing specialization
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq) and classical ML frameworks
  • Published research in quantum machine learning or related fields
  • Expertise in quantum error correction and fault-tolerant computing
  • Strong background in high-performance computing architectures
  • Experience leading technical teams and managing R&D projects

Required Skills

Quantum Computing Machine Learning AI Architecture Quantum Algorithms Qiskit Q# Cirq Python TensorFlow PyTorch Research Leadership

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