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Lead AI Architect: Quantum-Edge Systems (2026 Vision)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
26 Mei 2026
Deadline
26 Mei 2027

Job Description

Join Nexus Horizon Labs as we architect the technological foundation for the year 2026. We are not just building software; we are defining the future of human-machine symbiosis through Quantum-Edge AI systems. If you are a visionary engineer passionate about pushing the boundaries of what is possible, this is your opportunity to lead a world-class team in the heart of the tech revolution.


We are looking for a Lead AI Architect to spearhead the development of next-generation neural networks that operate at the quantum level. You will bridge the gap between theoretical physics and practical application, creating scalable systems that anticipate market needs before they arise.


Why Nexus Horizon?

  • Work on mission-critical projects that impact global industries.
  • Competitive compensation package including equity.
  • Access to cutting-edge hardware and research facilities.

Responsibilities

  • Architect and design scalable, fault-tolerant AI systems integrating quantum computing protocols.
  • Lead a multidisciplinary team of data scientists, engineers, and quantum physicists.
  • Define technical roadmaps for AI infrastructure that align with 2026 strategic goals.
  • Optimize machine learning models for edge computing environments with ultra-low latency.
  • Collaborate with product leaders to translate futuristic concepts into viable technical specifications.
  • Ensure system security, ethical AI compliance, and scalability across distributed networks.

Qualifications

  • Master’s or PhD degree in Computer Science, Physics, or a related field with a focus on AI/Quantum.
  • 10+ years of experience in software architecture, with at least 5 years in leading AI/ML teams.
  • Deep expertise in Python, C++, and quantum simulation frameworks (e.g., Qiskit, Cirq).
  • Proven track record of deploying production-grade machine learning systems.
  • Exceptional problem-solving skills and ability to navigate ambiguity in emerging technology landscapes.
  • Strong communication skills, capable of articulating complex technical concepts to non-technical stakeholders.

Required Skills

Python C++ Machine Learning Quantum Computing AI Architecture System Design Leadership Edge Computing TensorFlow PyTorch

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