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Information Technology 🏒 Full Time ⭐️ Verified

Future Tech Architect - AI & Quantum Integration

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

Job Description

We are at the precipice of a new era in technology. At Nexus Horizon Labs, we are building the infrastructure for the year 2026 and beyond. We are seeking a visionary Future Tech Architect to lead the convergence of Artificial Intelligence and Quantum Computing.

In this pivotal role, you will design next-generation systems that are not just efficient, but revolutionary. You will work directly with our R&D division to prototype solutions that will define the future of data processing, security, and automation.

If you are a technical leader who thrives on ambiguity and wants to shape the digital landscape of tomorrow, we want to hear from you.

Responsibilities

  • Architect Next-Gen Systems: Design and oversee the development of scalable AI frameworks integrated with quantum computing modules.
  • R&D Leadership: Spearhead research initiatives to explore the frontiers of AGI (Artificial General Intelligence) and quantum entanglement in data storage.
  • Technical Strategy: Translate complex scientific concepts into actionable engineering roadmaps for the engineering team.
  • Ethical Framework Implementation: Establish and enforce strict ethical guidelines for autonomous AI systems and quantum data usage.
  • Cross-Functional Collaboration: Partner with product managers, designers, and security experts to deliver integrated, high-impact solutions.
  • Talent Development: Mentor senior engineers and foster a culture of innovation, continuous learning, and technical excellence.

Qualifications

  • Education: Master’s or PhD in Computer Science, Physics, Mathematics, or a related technical field (PhD preferred).
  • Experience: Minimum of 10 years of progressive experience in software engineering, with at least 5 years in leading AI or high-performance computing teams.
  • Technical Expertise: Deep understanding of machine learning algorithms, neural networks, and quantum computing principles (e.g., Qiskit, Cirq, or equivalent).
  • Programming: Proficiency in Python, C++, and Rust; experience with distributed systems and cloud architecture (AWS/Azure/GCP).
  • Leadership: Demonstrated ability to lead large-scale technical projects from conception to deployment.
  • Communication: Exceptional ability to communicate complex technical ideas to non-technical stakeholders and executive leadership.

Required Skills

Artificial Intelligence Quantum Computing Machine Learning Software Architecture Python C++ Leadership R&D Distributed Systems

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