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Information Technology 🏢 Full Time ⭐️ Verified

Future Tech Lead: AI & Quantum Systems Architect

Horizon Nexus
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

We are seeking a Visionary Architect to spearhead the technological roadmap for 2026 and beyond. At Horizon Nexus, we are not just predicting the future; we are engineering it. You will be at the forefront of defining the 2026 Tech Stack—a revolutionary convergence of next-gen AI, quantum-ready infrastructure, and edge computing.

In this pivotal role, you will design the architectural blueprints for the next generation of intelligent systems. Your work will bridge the gap between theoretical AI capabilities and scalable, real-world deployment. You will lead a team of elite engineers in building the infrastructure that powers the autonomous digital economy of tomorrow.

Why join us?

  • Work on mission-critical projects that define the future of technology.
  • Access to cutting-edge resources and a culture that rewards innovation over convention.
  • Competitive compensation package with performance-based bonuses.

Responsibilities

  • Architect and deploy scalable, high-performance AI infrastructure capable of handling next-gen compute loads and quantum simulations.
  • Lead the strategic migration of legacy systems to decentralized, quantum-ready architectures.
  • Optimize deep learning models for real-time inference, energy efficiency, and massive scale.
  • Collaborate with cross-functional R&D teams to define the roadmap for Artificial General Intelligence (AGI) implementation.
  • Establish security protocols and data governance standards for decentralized AI networks.
  • Mentor senior engineers and foster a culture of technical excellence and forward-thinking problem solving.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Computational Physics, or a related technical field.
  • 5+ years of experience in software engineering with a strong focus on Machine Learning, Deep Learning, and High-Performance Computing.
  • Proficiency in Python, Rust, and modern C++ for low-level system optimization.
  • Deep expertise in Kubernetes, Docker, and cloud-native technologies (AWS, GCP, or Azure).
  • Strong understanding of neural networks, transformers, and vector databases.
  • Experience with blockchain protocols or Web3 technologies is a significant plus.

Required Skills

Python Rust Machine Learning Deep Learning Kubernetes Docker AWS GCP Quantum Computing AI Architecture Distributed Systems

Ready to Take This Challenge?

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