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Information Technology 🏒 Full Time ⭐️ Verified

Senior Quantum AI Architect

Nexus 2026 Technologies
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Are you ready to define the technological landscape of 2026? Nexus 2026 Technologies is seeking a visionary Senior Quantum AI Architect to lead our next generation of computational intelligence. In this pivotal role, you will bridge the gap between classical machine learning and future-proof quantum computing architectures. Join a team of elite engineers and data scientists committed to pushing the boundaries of what is possible.

Why Join Us?
We are not just building software; we are architecting the future. You will have the autonomy to experiment with bleeding-edge tools, work on high-impact projects, and mentor a world-class engineering team.

Responsibilities

  • Architect Hybrid Systems: Design and implement quantum-classical hybrid algorithms that solve complex optimization problems.
  • Infrastructure Strategy: Oversee the deployment of scalable AI models on cloud and quantum-ready edge devices.
  • Research & Development: Stay ahead of the curve in emerging quantum technologies, publishing research and contributing to open-source frameworks.
  • Team Leadership: Guide a cross-functional team of ML engineers and data scientists in best practices for model training and deployment.
  • Performance Optimization: Continuously refine model latency and accuracy to meet enterprise-grade standards.

Qualifications

  • Education: Master’s or PhD in Computer Science, Physics, Mathematics, or a related field.
  • Experience: 5+ years of experience in AI/ML architecture with a strong understanding of deep learning frameworks (TensorFlow, PyTorch).
  • Technical Skills: Proficiency in Python, C++, and quantum computing SDKs (Qiskit, Cirq, or similar).
  • Cloud Mastery: Strong background in cloud infrastructure (AWS, Azure, or GCP) with a focus on serverless and containerized environments.
  • Problem Solving: Demonstrated ability to tackle ambiguous problems and deliver robust, scalable solutions.

Required Skills

Python Quantum Computing Machine Learning Deep Learning C++ AWS Azure Cloud Architecture TensorFlow PyTorch System Design

Ready to Take This Challenge?

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