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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Architect

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

Job Description

Join Nexus Dynamics at the forefront of technological evolution as we pioneer the next generation of quantum-enhanced AI systems. As a Quantum AI Architect, you'll design and implement hybrid quantum-classical neural networks that redefine computational boundaries. This role offers unparalleled opportunities to shape the future of artificial intelligence while working with world-class researchers and cutting-edge hardware in our state-of-the-art facility.

We offer competitive compensation, comprehensive benefits including equity, and a flexible work environment that encourages innovation. Our commitment to sustainable technology and ethical AI development ensures your work has lasting impact.

Responsibilities

  • Design and optimize quantum neural network architectures for complex problem-solving
  • Develop hybrid quantum-classical machine learning pipelines
  • Lead R&D initiatives for quantum-resistant encryption protocols
  • Collaborate with hardware engineers to optimize quantum algorithm performance
  • Translate theoretical quantum computing concepts into practical AI applications
  • Present breakthrough findings at industry conferences and academic journals
  • Mentor junior researchers in quantum machine learning methodologies

Qualifications

  • PhD in Quantum Computing, Computer Science, or related field with 5+ years experience
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Proven track record developing production-level quantum algorithms
  • Deep understanding of quantum error correction and fault tolerance
  • Strong background in machine learning and neural network optimization
  • Published research in quantum machine learning or quantum information theory
  • Experience with cloud quantum computing platforms (AWS Braket, IBM Quantum)

Required Skills

Quantum Computing Machine Learning Neural Networks Quantum Algorithms Qiskit Q# AI Architecture Cryptography Cloud Computing

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