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Information Technology 🏒 Full Time ⭐️ Verified

Principal Architect: Next-Gen AI & Quantum Systems (2026)

Nexus Horizon
San Francisco
Estimated Salary
USD 190.000 – USD 280.000
Live Update
10 Juli 2026
Deadline
10 Jul 2027

Job Description

Shape the Future of Intelligence.

Nexus Horizon is on a mission to define the technological landscape of the year 2026. We are seeking a visionary Principal Architect to lead the development of our proprietary hybrid AI-Quantum infrastructure. If you are passionate about building scalable, ethical, and high-performance systems that push the boundaries of what is possible, we want to hear from you.

In this role, you will not just write code; you will architect the roadmap that will power our enterprise solutions for the next decade. You will bridge the gap between theoretical AI research and practical, production-grade engineering.

Why Join Us?

  • Work with a world-class team of researchers and engineers.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with a premium office in San Francisco.
  • Access to cutting-edge hardware and research labs.

Responsibilities

  • Define and execute the technical roadmap for our 2026 AI and Quantum computing initiatives.
  • Lead the architecture of large-scale distributed systems, ensuring high availability and low latency.
  • Collaborate with cross-functional teams (Product, Data Science, Security) to translate business requirements into technical blueprints.
  • Mentor senior engineers and foster a culture of innovation and continuous learning.
  • Oversee the integration of Generative AI models into legacy infrastructure.
  • Ensure compliance with data privacy regulations and ethical AI standards.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture or Quantum computing.
  • Deep expertise in Python, C++, and distributed systems design.
  • Proven track record of leading engineering teams through complex technical transitions.
  • Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
  • Strong understanding of machine learning algorithms, NLP, and neural networks.
  • Master’s degree or PhD in Computer Science, Physics, or a related field is highly preferred.

Required Skills

AI Machine Learning Quantum Computing Distributed Systems Python C++ Cloud Architecture Kubernetes Leadership System Design

Ready to Take This Challenge?

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