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Information Technology 🏢 Full Time ⭐️ Verified

Lead Architect: Project 2026 - Advanced AI Systems

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

The Future is Now. Nexus Horizon Labs is leading the charge on Project 2026, a revolutionary initiative designed to integrate quantum-ready neural networks with autonomous decision-making frameworks. We are looking for a visionary Lead Architect to design the blueprint of tomorrow.

In this role, you will not just write code; you will define the standard for next-generation AI infrastructure. You will be at the intersection of theoretical physics, advanced machine learning, and scalable software engineering.

Why join Project 2026?

  • Work on cutting-edge technology that will define the next decade of computing.
  • Competitive compensation and equity packages for top-tier talent.
  • Remote-first culture with access to world-class research facilities.

Responsibilities

  • System Architecture: Design and implement scalable, fault-tolerant architectures for high-frequency AI decision-making systems.
  • Quantum Integration: Lead the transition of classical ML models to hybrid quantum-classical algorithms suitable for 2026 deployment.
  • Team Leadership: Mentor a team of senior engineers and researchers, fostering a culture of innovation and technical excellence.
  • Roadmap Strategy: Define technical roadmaps for Project 2026, ensuring alignment with long-term business goals and regulatory standards.
  • Prototype Development: Hands-on development of core prototypes to validate theoretical concepts before scaling to production environments.

Qualifications

  • Education: PhD or Master's degree in Computer Science, Mathematics, Physics, or a related field with a focus on Artificial Intelligence.
  • Experience: 10+ years of experience in software engineering, with at least 5 years in a leadership role designing complex systems.
  • Technical Skills: Deep expertise in Python, C++, and distributed systems. Experience with TensorFlow, PyTorch, or similar ML frameworks.
  • Innovation: Demonstrated history of thinking outside the box and driving innovation in technical projects.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python C++ Machine Learning Neural Networks System Architecture Quantum Computing Distributed Systems TensorFlow AWS Kubernetes Leadership

Ready to Take This Challenge?

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