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Future Systems Architect (2026 Horizon) | San Francisco, CA

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 200.000 – USD 280.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

We are at the precipice of a technological revolution, and we need a visionary leader to build the infrastructure for the **2026 Horizon**. Nexus Horizon Technologies is seeking a highly skilled **Future Systems Architect** to design and deploy next-generation architectures that will power the AI-driven world of tomorrow. You will be responsible for bridging the gap between theoretical future-tech and deployable, scalable software solutions. This is an opportunity to shape the fundamental building blocks of our digital ecosystem.

Responsibilities

  • Design and implement resilient, high-performance system architectures for next-gen AI applications and quantum-ready networks.
  • Lead the technical strategy for migrating legacy infrastructure to edge-computing environments.
  • Oversee the integration of advanced Machine Learning models into real-time production pipelines.
  • Define and execute technical roadmaps aligned with the company's 2026 strategic vision.
  • Mentor and cultivate a culture of innovation among senior engineering teams.
  • Ensure system security, scalability, and fault tolerance in distributed cloud environments.

Qualifications

  • Master’s degree or PhD in Computer Science, Physics, or a related technical field.
  • 10+ years of experience in systems architecture, cloud engineering, or software development.
  • Deep expertise in Machine Learning, Deep Learning, and Neural Networks.
  • Strong proficiency in cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes).
  • Experience with quantum computing libraries or simulation tools is highly preferred.
  • Exceptional problem-solving skills and a track record of delivering complex technical projects on time.

Required Skills

Artificial Intelligence Quantum Computing System Architecture Cloud Infrastructure Machine Learning Python Rust Kubernetes Distributed Systems

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