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Future Tech Architect - AI & Quantum Computing

Nexus Horizon Labs
Austin
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are on the precipice of a technological revolution, and Nexus Horizon Labs is seeking a visionary Future Tech Architect to lead our initiatives for the year 2026 and beyond. In this pivotal role, you will define the architectural frameworks that bridge advanced artificial intelligence with quantum computing paradigms.

You will not just follow trends; you will set them. We are looking for a thought leader who thrives in ambiguity and possesses the technical prowess to engineer the systems of tomorrow. If you are passionate about the ethical implications of AI and the limitless potential of quantum mechanics, we want to hear from you.

Why Join Us?
β€’ Work on cutting-edge projects that define the next decade of computing.
β€’ Competitive equity package and flexible remote-first policies.
β€’ Access to world-class research facilities and AI supercomputers.

Responsibilities

  • Architect and design scalable, fault-tolerant systems integrating AI and quantum algorithms.
  • Lead the technical strategy for '2026 Vision' projects, ensuring feasibility and innovation.
  • Collaborate with cross-functional teams including data scientists, physicists, and engineers.
  • Define best practices for quantum machine learning and ethical AI deployment.
  • Mentor junior architects and conduct rigorous code reviews to maintain high engineering standards.
  • Research emerging technologies to forecast future capabilities and roadmap our infrastructure.

Qualifications

  • PhD or Master’s degree in Computer Science, Physics, or a related technical field.
  • 7+ years of experience in software architecture, AI/ML, or distributed systems.
  • Proficiency in Python, C++, and quantum computing frameworks (Qiskit, Cirq, or similar).
  • Deep understanding of machine learning models, neural networks, and quantum gates.
  • Experience with cloud platforms (AWS, Google Cloud, or Azure) and containerization (Docker, Kubernetes).
  • Strong problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Quantum Computing Machine Learning Python C++ System Architecture Cloud Computing AWS Kubernetes Neural Networks Ethical AI

Ready to Take This Challenge?

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