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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Future Systems Architect 2026

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are on the brink of a technological renaissance. Nexus Horizon Labs is seeking a visionary Future Systems Architect to lead the integration of quantum computing and generative AI into our core infrastructure. This is not just a job; it is a mission to architect the digital reality of 2026 and beyond.


In this pivotal role, you will bridge the gap between theoretical physics and practical software engineering. You will design scalable, resilient systems that leverage the next generation of processing power. If you possess an insatiable curiosity for what lies beyond the current horizon, we want to meet you.


Why Join Us?

  • Work with the most advanced AI and quantum technologies in the industry.
  • Shape the roadmap for enterprise-level future-tech solutions.
  • Competitive compensation and equity packages for top-tier talent.
  • Flexible, high-performance work environment in the heart of SF.

Responsibilities

  • Architect Quantum-Ready Systems: Design and oversee the deployment of hybrid quantum-classical algorithms that solve complex computational problems.
  • Lead Generative AI Integration: Integrate cutting-edge LLMs and generative models into our product suite, ensuring high accuracy and low latency.
  • System Resilience: Develop robust disaster recovery and security protocols for decentralized, future-tech infrastructure.
  • Innovation Strategy: Collaborate with R&D to prototype and validate novel technologies before market release.
  • Talent Mentorship: Guide a team of senior engineers and data scientists in adopting best practices for next-gen development.

Qualifications

  • Education: Master’s or PhD in Computer Science, Physics, Mathematics, or a related field (PhD preferred).
  • Experience: 5+ years of experience in software architecture, with at least 2 years in AI/ML or high-performance computing.
  • Technical Skills: Proficiency in Python, C++, Rust, and experience with quantum SDKs (e.g., Qiskit, Cirq) or major cloud platforms (AWS, GCP).
  • Problem Solving: Deep understanding of neural networks, optimization algorithms, and distributed systems.
  • Communication: Exceptional ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Quantum Computing Artificial Intelligence System Architecture Python C++ Machine Learning Cloud Infrastructure Rust

Ready to Take This Challenge?

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