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Information Technology 🏢 Full Time ⭐️ Verified

Senior Quantum-AI Architect

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

Job Description

We are entering a pivotal era. As we approach the transformative year of 2026, Nexus Horizon is at the forefront of building the infrastructure that will define the next generation of computing. We are seeking a visionary Senior Quantum-AI Architect to lead our research and development initiatives, bridging the gap between classical machine learning and future quantum supremacy.

In this role, you will not just be writing code; you will be architecting the very fabric of tomorrow's digital reality. You will work in a high-performance environment where innovation is the only metric of success.

Why Join Us?

  • Work on projects that will define the trajectory of AI through 2026 and beyond.
  • Competitive compensation package including equity and remote-first flexibility.
  • Access to state-of-the-art quantum hardware and AI research labs.

Responsibilities

  • Design and implement scalable quantum-classical hybrid algorithms for Generative AI models.
  • Lead the architectural strategy for migrating legacy neural networks to quantum-accelerated environments.
  • Optimize data pipelines to handle high-dimensional tensors required for next-gen AI training.
  • Collaborate with cross-functional teams of physicists and software engineers to push the boundaries of computational power.
  • Establish best practices for quantum security and error correction in 2026-era systems.

Qualifications

  • PhD or Master's degree in Computer Science, Physics, Applied Mathematics, or a related field.
  • 10+ years of experience in software engineering, with at least 5 years in high-scale distributed systems or AI infrastructure.
  • Deep proficiency in Python, C++, and Rust, with specific experience in quantum computing frameworks (e.g., Qiskit, Cirq, PyQuil).
  • Strong understanding of linear algebra, probability theory, and optimization.
  • Experience with cloud infrastructure (AWS, Google Cloud) and containerization technologies (Docker, Kubernetes).

Required Skills

Quantum Computing AI Machine Learning Distributed Systems Python C++ Rust System Architecture Research San Francisco CA

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