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Senior AI-Quantum Systems Architect

Nebula Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are not just predicting the future; we are engineering it. In 2026, the boundaries between artificial intelligence and quantum mechanics will vanish. Nebula Horizon Systems is seeking a visionary Senior AI-Quantum Systems Architect to lead the development of next-generation computing paradigms.

In this pivotal role, you will orchestrate the convergence of neural networks and quantum processors to solve problems currently deemed impossible. You will define the architectural blueprints for our upcoming flagship platform, ensuring scalability, efficiency, and ethical alignment in a post-classical computing era.

Why Join Us?

  • Work on the bleeding edge of technology.
  • Competitive equity and a future-focused benefits package.
  • Collaborate with the brightest minds in the industry.

Responsibilities

  • Design and implement hybrid AI-quantum algorithms that leverage quantum annealing for complex optimization tasks.
  • Lead the architectural strategy for integrating classical machine learning models with quantum error correction protocols.
  • Mentor a team of elite engineers and researchers, fostering a culture of innovation and rigorous technical excellence.
  • Optimize system latency and throughput for real-time data processing in a distributed environment.
  • Define technical roadmaps and ensure the feasibility of long-term product vision.
  • Conduct rigorous code reviews and establish best practices for quantum software development.

Qualifications

  • Master’s degree or PhD in Computer Science, Computational Physics, Quantum Information Science, or a related field.
  • 10+ years of experience in software architecture, with at least 5 years specifically in AI/ML or High-Performance Computing.
  • Deep expertise in quantum computing frameworks such as Qiskit, Cirq, or PyQuil.
  • Strong proficiency in Python, C++, and GPU programming (CUDA).
  • Proven track record of leading cross-functional teams in a high-growth tech environment.
  • Experience with cloud infrastructure (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

Required Skills

Python TensorFlow Qiskit Quantum Computing System Design Cloud Architecture C++ CUDA Machine Learning High-Performance Computing

Ready to Take This Challenge?

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