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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI & Quantum Systems Architect

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

Job Description

Are you ready to architect the future of intelligence? Nexus Horizon Labs is seeking a visionary Lead AI & Quantum Systems Architect to spearhead our research initiatives for the 2026 technological landscape. We are building the next generation of self-learning systems that operate at the intersection of artificial intelligence and quantum mechanics.

In this pivotal role, you will define the technical architecture for our flagship products, ensuring they are scalable, secure, and revolutionary. You will work in a high-performance environment that values innovation, curiosity, and technical excellence. We are looking for a leader who is not just proficient in code, but who possesses a deep understanding of the theoretical underpinnings of future tech.

Key Highlights:

  • Impactful Work: Directly influence the trajectory of AI and quantum computing adoption.
  • Top-Tier Team: Collaborate with world-class engineers and researchers.
  • Flexible Environment: Hybrid work model with a focus on output over hours.

Responsibilities

  • Design and deploy scalable AI architectures utilizing quantum algorithms and neural networks.
  • Lead the research and development of proprietary machine learning models.
  • Provide technical mentorship and guidance to a team of senior engineers and data scientists.
  • Conduct rigorous code reviews and ensure adherence to engineering best practices.
  • Identify technical risks and implement mitigation strategies for large-scale projects.
  • Collaborate with product management to translate complex technical concepts into user-centric solutions.

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 AI/ML architecture.
  • Expert proficiency in Python, C++, and deep learning frameworks (PyTorch, TensorFlow, JAX).
  • Hands-on experience with quantum computing platforms (e.g., Qiskit, Cirq, or AWS Braket).
  • Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Excellent verbal and written communication skills with the ability to present complex technical ideas.

Required Skills

Python TensorFlow PyTorch Quantum Computing AWS System Architecture Machine Learning Docker Kubernetes

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