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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI & Quantum Synergy Architect - San Francisco, CA

Horizon 2026 Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

At Horizon 2026 Labs, we aren't just predicting the future; we are coding it. We are seeking a visionary Senior AI & Quantum Synergy Architect to lead our next-generation neural interface division. In this pivotal role, you will define the architectural framework for systems that merge artificial intelligence with post-quantum cryptography, setting the standard for the technological landscape of 2026 and beyond.

We offer a competitive benefits package, including equity, remote-first flexibility, and the opportunity to work on projects that will define the next decade of human-computer interaction.

Responsibilities

  • Spearhead the Design: Lead the architectural vision for hybrid AI-Quantum systems, ensuring scalability, security, and performance for the 2026 ecosystem.
  • Technical Leadership: Mentor a high-performance team of data scientists, quantum engineers, and full-stack developers to deliver breakthrough solutions.
  • Algorithm Development: Design and implement novel algorithms that bridge the gap between classical machine learning and quantum computing paradigms.
  • Strategic Innovation: Conduct research into emerging technologies, identifying trends that will impact our roadmap for the 2026 release cycle.
  • Cross-Functional Collaboration: Partner with product managers and UX researchers to translate complex technical requirements into intuitive, user-centric products.
  • Security & Compliance: Establish rigorous security protocols and data governance frameworks to protect sensitive neural data.

Qualifications

  • Experience: 10+ years of experience in software architecture, with a focus on AI/ML, distributed systems, or high-performance computing.
  • Education: PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related technical field.
  • Technical Stack: Deep expertise in Python, C++, TensorFlow/PyTorch, and quantum computing frameworks (e.g., Qiskit, Cirq).
  • Leadership: Proven track record of leading engineering teams and managing complex technical projects from conception to deployment.
  • Future-Forward Thinking: Ability to anticipate technological shifts and design resilient systems for the long term.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python C++ TensorFlow PyTorch Quantum Computing Machine Learning Distributed Systems AWS Leadership System Architecture

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