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Information Technology 🏒 Full Time ⭐️ Verified

Future Systems Architect - AI & Quantum Integration

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juni 2026
Deadline
2 Jun 2027

Job Description

Are you ready to architect the infrastructure of tomorrow? Nexus Horizon Technologies is seeking a visionary Future Systems Architect to spearhead our quantum-ready AI initiatives. As we prepare for the technological paradigm shift of 2026, we need a leader who can bridge the gap between current deep learning models and future-proof quantum architectures.

In this role, you will define the technical strategy for our next-generation platforms, ensuring scalability, security, and innovation. Join a team that is not just building software, but defining the very fabric of the digital future.

What you will do:

Responsibilities

  • Design and deploy scalable, fault-tolerant systems architecture for AI and Quantum computing integration.
  • Lead the technical roadmap for the '2026 Readiness' initiative, identifying emerging technologies and implementation strategies.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to deliver cutting-edge solutions.
  • Optimize neural networks and algorithms for high-performance computing environments.
  • Establish best practices for cloud infrastructure, security, and data governance in a decentralized future.
  • Conduct deep technical research to evaluate and prototype new hardware-software interfaces.
  • Mentor junior architects and engineers, fostering a culture of continuous innovation.

Qualifications

  • Master’s degree in Computer Science, Physics, Mathematics, or a related field (PhD preferred).
  • 10+ years of experience in systems architecture, with a focus on AI, Machine Learning, or High-Performance Computing.
  • Deep understanding of quantum computing concepts and their application to classical machine learning problems.
  • Proficiency in programming languages such as Python, Rust, C++, or Go.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Strong problem-solving skills with the ability to navigate ambiguity and lead complex technical projects.
  • Excellent communication skills, with the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Artificial Intelligence Quantum Computing System Architecture Machine Learning Python Rust Kubernetes Cloud Computing Deep Learning High-Performance Computing

Ready to Take This Challenge?

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