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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Architect

Nexus Dynamics
Austin
Estimated Salary
USD 180.000 – USD 280.000
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 artificial intelligence systems. We're seeking a visionary Quantum AI Architect to design and implement cutting-edge solutions that will redefine industries by 2026. This role offers the unique opportunity to shape the future of computational intelligence while working alongside Nobel laureates and industry pioneers in our state-of-the-art Austin Innovation Hub.

As part of our elite Future Technologies Division, you'll lead the development of hybrid quantum-neural networks that solve previously impossible computational challenges. Your work will directly impact breakthroughs in materials science, climate modeling, and personalized medicine. We offer competitive equity packages, unlimited learning stipends, and flexible remote work options with quarterly in-person innovation sprints.

Responsibilities

  • Design and implement scalable quantum machine learning frameworks for enterprise applications
  • Lead cross-functional teams in developing quantum-classical hybrid algorithms
  • Conduct frontier research in quantum error correction and coherence optimization
  • Develop predictive models for 2026 technology adoption curves across industries
  • Architect secure quantum communication protocols for sensitive data processing
  • Collaborate with hardware teams to optimize quantum chip designs for AI workloads
  • Create strategic roadmaps for quantum AI integration in Fortune 500 ecosystems

Qualifications

  • PhD in Quantum Computing, Computer Science, or related field with 5+ years industry experience
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq) and quantum circuit design
  • Proven track record of publishing in top-tier quantum/AI journals (Nature, Science, etc.)
  • Deep understanding of quantum machine learning algorithms and tensor networks
  • Experience with cloud quantum platforms (IBM Quantum, Amazon Braket, Azure Quantum)
  • Strong background in high-performance computing and distributed systems
  • Demonstrated ability to translate complex quantum concepts into business applications
  • Portfolio showcasing at least 3 quantum AI implementations with measurable impact

Required Skills

Quantum Computing Machine Learning AI Architecture Qiskit Cirq Q# High-Performance Computing Quantum Error Correction Neural Networks Cryptography Python TensorFlow PyTorch

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