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Senior Quantum AI Architect - Vision 2026

OmniLogic Systems
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

The Future is Now: Join the Vision 2026 Initiative.

OmniLogic Systems is a leader in next-generation computing, and we are currently seeking a visionary Senior Quantum AI Architect to spearhead our Vision 2026 strategic roadmap. As we bridge the gap between quantum mechanics and artificial intelligence, we are looking for a technical leader who is ready to redefine the boundaries of possibility.

In this pivotal role, you will design and implement groundbreaking algorithms that leverage quantum computing power to solve complex, unsolvable problems in predictive analytics and autonomous systems. This is an opportunity to work on state-of-the-art technology that will define the industry landscape for years to come.

Responsibilities

  • Architect and deploy scalable quantum machine learning models tailored for the Vision 2026 platform.
  • Collaborate with interdisciplinary teams to integrate neural networks with emerging quantum processors.
  • Optimize algorithms for ultra-low latency and high-fidelity data processing in real-time environments.
  • Lead high-level research initiatives exploring novel applications of quantum entanglement in AI.
  • Oversee the mentorship of junior engineers and conduct technical deep-dives on advanced AI methodologies.
  • Ensure all architectural designs adhere to rigorous security, privacy, and compliance standards.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Physics, Mathematics, or a related field with a focus on AI and Quantum Mechanics.
  • Minimum of 5 years of professional experience designing large-scale machine learning systems.
  • Deep expertise in Python, C++, and quantum programming languages such as Qiskit, Cirq, or Q#.
  • Strong proficiency in deep learning frameworks (TensorFlow, PyTorch) and their quantum extensions.
  • Experience with cloud infrastructure (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
  • Exceptional problem-solving skills and the ability to thrive in a fast-paced, experimental R&D environment.

Required Skills

Quantum Computing Machine Learning Python C++ TensorFlow PyTorch Cloud Architecture Deep Learning Neural Networks Algorithm Design

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