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Information Technology 🏒 Full Time ⭐️ Verified

2026 AI & Quantum Hybrid Architect

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

We are on the precipice of a technological singularity. Nexus Horizon Labs is building the infrastructure for the year 2026 and beyond. We are seeking a visionary 2026 AI & Quantum Hybrid Architect to lead our research division.

In this pivotal role, you will bridge the gap between current artificial intelligence capabilities and the post-quantum computing landscape. You will define the architectural blueprints that will secure our digital future and power the next generation of intelligent systems. If you are ready to leave a legacy in the technology of tomorrow, apply today.

Responsibilities

  • Design Future-Proof Architectures: Create scalable, high-performance hybrid systems that integrate classical AI models with emerging quantum algorithms.
  • Lead the 2026 Roadmap: Define technical milestones and strategic initiatives to ensure our infrastructure remains relevant through 2030.
  • Optimize Compute Efficiency: Engineer solutions that minimize latency and energy consumption in distributed computing environments.
  • Drive Innovation: Spearhead proof-of-concept projects exploring neuromorphic computing and edge AI integration.
  • Collaborate Across Disciplines: Work closely with data scientists, quantum physicists, and security experts to synthesize complex requirements into robust technical solutions.

Qualifications

  • Experience: 8+ years of experience in Systems Architecture, with at least 3 years specifically focused on AI or Machine Learning infrastructure.
  • Tech Stack: Proficiency in Python, C++, and Rust, with deep understanding of cloud-native architectures (AWS, GCP, Azure).
  • Quantum Knowledge: Familiarity with quantum computing concepts, Qiskit, or Cirq; ability to translate quantum potential into practical application.
  • Leadership: Demonstrated ability to lead cross-functional teams and mentor junior engineers.
  • Education: Master’s degree or PhD in Computer Science, Electrical Engineering, or a related field.

Required Skills

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

Ready to Take This Challenge?

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