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Lead Quantum AI Architect | Shaping the Future of 2026

Nexus Horizon Labs
Austin
Estimated Salary
USD 180.000 – USD 260.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are seeking a visionary Lead Quantum AI Architect to define the technological landscape of 2026. At Nexus Horizon Labs, we are building the infrastructure for the next decade. You will be at the forefront of merging classical machine learning with quantum supremacy, creating solutions that are not just advanced, but revolutionary.

In this high-impact role, you will lead a cross-functional team of engineers and researchers, establishing the architectural blueprints for our flagship '2026' project. If you have a passion for pushing the boundaries of what is possible in computing and want to leave a lasting legacy in the tech industry, we want to hear from you.

Responsibilities

  • Architect and design scalable, quantum-resistant AI systems tailored for the 2026 technological era.
  • Lead R&D initiatives exploring hybrid quantum-classical algorithms and their real-world applications.
  • Define technical roadmaps and standards for the engineering team to ensure long-term scalability and security.
  • Mentor senior engineers and junior developers, fostering a culture of innovation and continuous learning.
  • Collaborate with C-suite executives to translate complex technical concepts into actionable business strategies.
  • Stay ahead of global tech trends, specifically focusing on emerging quantum computing protocols and AI ethics.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Physics, Mathematics, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years in leading architectural roles.
  • Proven expertise in Machine Learning, Deep Learning, and Quantum Computing concepts (Qiskit, Cirq, etc.).
  • Strong understanding of distributed systems, cloud architecture, and high-performance computing.
  • Exceptional leadership skills with a track record of managing high-performing engineering teams.
  • Ability to communicate complex technical ideas to non-technical stakeholders effectively.

Required Skills

Quantum Computing Machine Learning Python C++ System Architecture Cloud Computing AI Strategy

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