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Information Technology 🏒 Full Time ⭐️ Verified

Senior Quantum AI Architect - 2026 Readiness

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are at the forefront of the next technological revolution, and we are looking for a visionary Senior Quantum AI Architect to lead our research into the 2026 landscape. In this pivotal role, you will bridge the gap between classical machine learning and emerging quantum computing paradigms, designing the systems that will define the future of artificial intelligence.

At Nexus Horizon Labs, we don't just predict the future; we build it. You will work alongside top-tier engineers and data scientists to solve problems that were previously thought impossible, pushing the boundaries of what is achievable in software engineering.

Why Join Us?
β€’ Competitive compensation and equity package.
β€’ Access to cutting-edge quantum hardware and software stacks.
β€’ Flexible remote-first culture with a focus on innovation.
β€’ Professional development budget for conferences and training.

Responsibilities

  • Architect and design scalable quantum-classical hybrid algorithms for complex machine learning tasks.
  • Lead a high-performance team of researchers and engineers focused on 2026 readiness and scalability.
  • Collaborate with cross-functional stakeholders to define technical roadmaps for next-gen AI infrastructure.
  • Optimize neural network models to run efficiently on quantum processors and specialized hardware.
  • Ensure data security, integrity, and compliance in distributed quantum computing environments.
  • Stay abreast of the latest developments in quantum mechanics, cryptography, and AI theory.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, Physics, or a related field.
  • 5+ years of professional experience in AI/ML engineering, with a focus on deep learning or neural networks.
  • Hands-on experience with quantum computing frameworks (Qiskit, Cirq, or PyQuil).
  • Proficiency in Python, C++, and CUDA programming.
  • Strong understanding of distributed systems, cloud architecture, and high-performance computing.
  • Exceptional problem-solving skills and the ability to thrive in a fast-paced, research-driven environment.

Required Skills

Quantum Computing Machine Learning Python C++ Neural Networks Deep Learning Distributed Systems Cloud Architecture TensorFlow PyTorch

Ready to Take This Challenge?

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