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Senior AI & Quantum Systems Architect - 2026 Vision

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 185.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to define the era of 2026?

Nexus Horizon Technologies is pioneering the next generation of Artificial General Intelligence (AGI) integrated with Quantum Computing. We are seeking a visionary Senior AI & Quantum Systems Architect to design the neural infrastructure of tomorrow. If you thrive on solving complex, unsolved problems and want to build the fabric of the future, this is your opportunity.

Why join Nexus Horizon?

  • Work at the intersection of Neural Networks and Quantum Mechanics.
  • Competitive equity package and performance bonuses.
  • Flexible remote-first culture with state-of-the-art hardware labs in SF.

As a key leader on our engineering team, you will bridge the gap between classical computing limitations and the potential of quantum supremacy, ensuring our AI models are robust, scalable, and future-proof.

Responsibilities

  • Architect Quantum-Classical Hybrid Systems: Design and implement complex algorithms that leverage both classical and quantum computing resources to solve optimization problems.
  • Neural Network Optimization: Enhance deep learning models to run efficiently on next-generation specialized hardware (GPUs/TPUs/QPUs).
  • Infrastructure Scalability: Lead the architectural design of cloud-native systems capable of handling exabyte-scale data processing.
  • Emerging Tech Research: Stay ahead of the curve on developments in Synthetic Intelligence, Neuromorphic Computing, and Edge AI.
  • Mentorship: Guide a team of junior architects and data scientists, fostering a culture of innovation and technical excellence.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related field with a focus on Computational Intelligence.
  • Experience: 5+ years of experience in software architecture, with at least 2 years specifically in AI/ML or Quantum Computing.
  • Technical Stack: Proficiency in Python, C++, TensorFlow, PyTorch, and Qiskit or Cirq.
  • System Design: Strong understanding of distributed systems, microservices, and Kubernetes orchestration.
  • Communication: Exceptional ability to translate complex technical concepts for diverse stakeholders and investors.

Required Skills

Quantum Computing Machine Learning System Architecture Python C++ TensorFlow PyTorch Cloud Infrastructure Distributed Systems

Ready to Take This Challenge?

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