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Senior Quantum Neural Architect (2026)

Apex Horizon Systems
San Francisco
Estimated Salary
USD 165.000 – USD 240.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Be a pioneer in the next era of computing. Apex Horizon Systems is seeking a visionary Senior Quantum Neural Architect to lead our research into post-silicon processing and advanced AI integration. This role is critical in defining the technological landscape of the 2026 decade. If you are passionate about pushing the boundaries of what is possible in artificial intelligence and quantum mechanics, we want to hear from you.

Why Join Us?

At Apex Horizon, we are building the infrastructure for a smarter tomorrow. You will have the opportunity to work with a world-class team of engineers, physicists, and data scientists in a dynamic, high-growth environment.

Responsibilities

  • Architect Next-Gen Systems: Design and implement scalable quantum neural network architectures that integrate seamlessly with classical computing systems.
  • Research & Development: Lead the research into novel quantum algorithms that enhance machine learning accuracy and processing speed.
  • System Integration: Bridge the gap between theoretical quantum physics and practical software engineering applications.
  • Team Leadership: Mentor a team of junior architects and data scientists, fostering a culture of innovation and continuous learning.
  • Performance Optimization: Optimize quantum circuits for real-time data processing and reduce error margins in quantum operations.
  • Prototyping: Build rapid prototypes of quantum AI models to validate concepts before full-scale deployment.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Physics, Mathematics, or a related field with a focus on Quantum Computing.
  • Experience: 5+ years of experience in software architecture, machine learning, or quantum information science.
  • Technical Skills: Proficiency in Python, C++, and quantum programming frameworks (e.g., Qiskit, Cirq, or PyQuil).
  • Knowledge: Deep understanding of quantum mechanics principles, linear algebra, and tensor calculus.
  • Soft Skills: Exceptional problem-solving abilities and strong communication skills to translate complex technical concepts to stakeholders.
  • Adaptability: Ability to thrive in a fast-paced, experimental environment.

Required Skills

Quantum Computing Neural Networks Python C++ Machine Learning System Architecture AI Research Data Science

Ready to Take This Challenge?

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