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Principal AI & Quantum Systems Architect (2026)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 210.000 – USD 300.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join the Vanguard of the Future.

Nexus Horizon Labs is seeking a visionary Principal AI & Quantum Systems Architect to lead the development of next-generation intelligence infrastructure. In this pivotal role, you will bridge the gap between classical machine learning and emerging quantum computing paradigms, defining the technical roadmap for our 2026 product suite.

We are looking for a thought leader who thrives in ambiguity and possesses the technical prowess to architect scalable, secure, and high-performance systems that will redefine human-machine interaction. If you are ready to build the foundation for the future of technology, we want to hear from you.

Responsibilities

  • Architect Next-Gen Systems: Design and implement complex AI and quantum algorithms optimized for high-velocity data processing and predictive modeling.
  • Lead Technical Strategy: Define the long-term technical vision for Nexus Horizon, ensuring alignment with industry trends in synthetic intelligence and neural networks.
  • R&D Leadership: Spearhead research initiatives exploring the intersection of generative AI and quantum entanglement for breakthrough performance.
  • System Optimization: Oversee the deployment of scalable microservices and cloud-native architectures to support global enterprise integrations.
  • Team Mentorship: Cultivate a high-performance engineering culture, mentoring senior engineers and fostering continuous learning within the AI division.
  • Security & Compliance: Ensure all AI systems adhere to the highest standards of data privacy, ethical AI guidelines, and cybersecurity protocols.

Qualifications

  • Education: Master’s or PhD degree in Computer Science, Artificial Intelligence, Quantum Physics, or a related technical field.
  • Experience: 8+ years of experience in software architecture, with at least 3 years specifically in AI/ML or Quantum Computing research.
  • Technical Stack: Proficiency in Python, C++, TensorFlow, PyTorch, and quantum computing frameworks (e.g., Qiskit, Cirq).
  • Problem Solving: Demonstrated ability to solve complex, large-scale problems with innovative technical solutions.
  • Leadership: Proven track record of leading cross-functional teams and managing high-stakes technical projects.
  • Communication: Exceptional ability to articulate complex technical concepts to non-technical stakeholders and investors.

Required Skills

Python TensorFlow PyTorch Quantum Computing Machine Learning System Architecture Cloud Computing Leadership AI Research

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