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Quantum AI Architect

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of technological revolution as we build the quantum-AI infrastructure for 2026. We're seeking a visionary Quantum AI Architect to design next-generation systems that will redefine computational boundaries. This role combines cutting-edge quantum computing with advanced artificial intelligence to solve humanity's most complex challenges. You'll work in our state-of-the-art research facility alongside Nobel laureates and industry pioneers, shaping the technological landscape of tomorrow.

Our team operates at the intersection of quantum mechanics and machine learning, developing algorithms that will power breakthroughs in materials science, climate modeling, and personalized medicine. We offer unparalleled resources, including access to quantum annealing systems and dedicated GPU clusters, alongside a culture that encourages bold experimentation and intellectual curiosity.

Responsibilities

  • Design and implement quantum-AI hybrid architectures for 2026-scale computational challenges
  • Develop proprietary quantum machine learning algorithms to accelerate AI training by 1000x
  • Lead cross-functional teams in prototyping quantum-resistant security protocols
  • Collaborate with hardware teams to optimize quantum coherence times for real-world applications
  • Translate theoretical quantum computing principles into practical business solutions
  • Present strategic roadmaps to C-suite executives and venture capital partners
  • Author whitepapers on quantum-AI convergence for industry conferences

Qualifications

  • PhD in Quantum Computing, Theoretical Physics, or Machine Learning (or equivalent experience)
  • 5+ years of experience in quantum algorithm development or high-performance AI systems
  • Proficiency in quantum programming languages (Qiskit, Cirq) and AI frameworks (PyTorch, TensorFlow)
  • Published research in Nature/Science or equivalent tier journals
  • Deep understanding of quantum error correction and fault-tolerant computing
  • Experience with quantum hardware providers (IBM Quantum, Rigetti, IonQ)
  • Strong background in distributed computing and parallel processing architectures

Required Skills

Quantum Computing Machine Learning Qiskit Cirq PyTorch TensorFlow Theoretical Physics Quantum Error Correction High-Performance Computing

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