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Senior Quantum AI Architect

Apex Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
8 Juli 2026
Deadline
8 Jul 2027

Job Description

Be the Architect of the Future.

Apex Horizon Systems is pioneering the next generation of computational intelligence. We are seeking a Senior Quantum AI Architect to lead our R&D initiatives, bridging the gap between classical artificial intelligence and next-generation quantum computing. If you are passionate about solving unsolvable problems and shaping the technological landscape of 2026 and beyond, this is your opportunity to lead.

Why Join Us?

  • Work with state-of-the-art quantum hardware.
  • Competitive equity package and top-tier benefits.
  • Flexible remote-first culture with HQ in San Francisco.

We are looking for a visionary who thrives in ambiguity and drives innovation.

Responsibilities

  • Algorithm Design: Develop and optimize quantum algorithms for machine learning tasks, specifically focusing on variational quantum eigensolvers and quantum neural networks.
  • System Integration: Design architectural frameworks that seamlessly integrate quantum processing units (QPUs) with classical AI pipelines.
  • Research & Development: Conduct cutting-edge research into error mitigation techniques and quantum coherence preservation for AI models.
  • Technical Leadership: Mentor junior engineers and data scientists, establishing coding standards and architectural best practices for quantum software.
  • Prototyping: Build rapid prototypes of AI-driven quantum solutions to validate feasibility before large-scale deployment.
  • Collaboration: Partner with physicists and hardware engineers to align software capabilities with hardware limitations.

Qualifications

  • Education: PhD in Computer Science, Physics, Applied Mathematics, or a related field.
  • Experience: 5+ years of professional experience in software engineering, with at least 2 years focused on AI/ML or Quantum Computing.
  • Technical Skills: Proficiency in Python (PyTorch, TensorFlow, Qiskit, Cirq) and C++ for low-level optimization.
  • Knowledge: Deep understanding of linear algebra, probability, and quantum mechanics fundamentals.
  • Problem Solving: Demonstrated ability to tackle complex, open-ended technical challenges with innovative solutions.
  • Communication: Excellent verbal and written communication skills, capable of translating complex technical concepts to diverse stakeholders.

Required Skills

Quantum Computing Machine Learning Python C++ Qiskit TensorFlow Neural Networks Algorithms Research R&D

Ready to Take This Challenge?

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