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Senior 2026 AI & Quantum Architect

Nexus Core Systems
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

The Future of Technology Awaits.

Nexus Core Systems is pioneering the next generation of intelligence. We are looking for a visionary Senior 2026 AI & Quantum Architect to lead the architectural overhaul of our core infrastructure. In this role, you will bridge the gap between classical computing and the emerging 2026 quantum stack, ensuring our systems remain at the bleeding edge of innovation.

As a key leader in our engineering division, you will define the technical roadmap for the 2026 release cycle, optimizing neural networks for quantum processing units (QPUs), and ensuring scalability across global networks.

Responsibilities

  • Lead the 2026 Roadmap: Define the technical vision and architectural principles for the Nexus 2026 platform, ensuring alignment with business goals.
  • Quantum-Neural Integration: Design hybrid systems that leverage classical machine learning models and quantum algorithms for superior computational power.
  • System Optimization: Architect high-performance computing solutions capable of handling exascale data processing in real-time.
  • Technical Mentorship: Guide a team of senior engineers and data scientists in adopting the 2026 stack and best practices.
  • Security & Compliance: Implement robust security protocols for next-gen cryptographic systems required for 2026 standards.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Physics, or Mathematics with a focus on AI or Quantum Computing.
  • Experience: 8+ years of experience in software architecture, with at least 3 years specifically focused on AI/ML systems.
  • Technical Stack: Proficiency in Python, C++, and Rust, with demonstrable experience in quantum simulation libraries.
  • 2026 Readiness: Deep understanding of the emerging 2026 computing paradigm and its implications on data architecture.
  • Leadership: Proven track record of leading high-performance engineering teams and delivering complex systems on time.

Required Skills

Python C++ Quantum Computing Machine Learning System Architecture AI Cloud Computing TensorFlow PyTorch

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