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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Quantum Systems Architect

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

Job Description

Are you ready to build the infrastructure of tomorrow? Nexus Horizon Labs is seeking a visionary Senior AI & Quantum Systems Architect to lead our 2026 roadmap. In this pivotal role, you will bridge the gap between theoretical quantum mechanics and practical, scalable AI applications, designing systems that are not just efficient, but revolutionary.

We are a fast-paced, elite engineering environment focused on solving the world's most complex computational problems. As an Architect, you will define the technical strategy for our flagship Quantum Neural Network platform, ensuring our systems are robust, secure, and scalable for global deployment.

Responsibilities

  • Architect the Future: Design and implement high-performance, distributed quantum-AI hybrid architectures that scale to petabyte-level data processing.
  • Lead Innovation: Spearhead research and development initiatives focusing on next-gen algorithms and quantum error correction techniques.
  • Technical Mentorship: Guide a team of elite engineers and data scientists, fostering a culture of continuous learning and technical excellence.
  • System Optimization: Oversee the deployment of machine learning models into production environments, ensuring real-time latency and accuracy.
  • Stakeholder Communication: Translate complex technical concepts into actionable strategies for executive leadership and cross-functional teams.

Qualifications

  • Education: Master’s or PhD in Computer Science, Physics, Applied Mathematics, or a related field with a focus on AI or Quantum Computing.
  • Experience: 10+ years of professional experience in software engineering, with at least 5 years in AI/ML architecture or Quantum Computing.
  • Technical Stack: Proficiency in Python, C++, TensorFlow/PyTorch, and familiarity with Qiskit or Cirq.
  • Cloud Mastery: Deep expertise in cloud infrastructure (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker).
  • Problem Solving: Demonstrated ability to architect solutions for high-concurrency, high-availability systems.

Required Skills

AI Quantum Computing System Architecture Python C++ Machine Learning Cloud Computing Kubernetes Docker

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