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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Quantum Systems Architect

Nebula Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
8 Juli 2026
Deadline
8 Jul 2027

Job Description

We are seeking a visionary Senior AI & Quantum Systems Architect to lead our research into next-generation computing paradigms. In this role, you will define the architectural blueprint for systems that merge artificial intelligence with quantum computing power, ensuring scalability, security, and performance for the year 2026 and beyond.

About the Role:

As a pioneer in the 2026 tech landscape, you will bridge the gap between theoretical quantum mechanics and practical machine learning applications. You will work in a high-performance environment focused on solving complex optimization problems using hybrid classical-quantum approaches. Your work will directly impact industries ranging from finance to biotechnology.

Why Join Us?

Join a team of elite engineers and scientists dedicated to building the infrastructure of tomorrow. We offer competitive compensation, equity packages, and the opportunity to work on cutting-edge technology that defines the future.

Responsibilities

  • Design and implement scalable architectures for hybrid AI and quantum computing systems.
  • Develop quantum algorithms to solve complex optimization and machine learning problems.
  • Lead R&D initiatives to integrate emerging quantum hardware with classical cloud infrastructure.
  • Mentor a team of software engineers and data scientists, fostering a culture of innovation.
  • Conduct rigorous code reviews and ensure adherence to best practices in cybersecurity and system integrity.
  • Collaborate with product managers to translate futuristic concepts into viable technical roadmaps.

Qualifications

  • PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related field.
  • 10+ years of experience in software architecture, with at least 3 years in AI/ML or Quantum computing.
  • Expert proficiency in Python, C++, and modern machine learning frameworks (TensorFlow, PyTorch).
  • Familiarity with quantum computing libraries such as Qiskit, Cirq, or Amazon Braket.
  • Strong understanding of distributed systems, cloud computing (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
  • Demonstrated ability to lead cross-functional teams and manage technical projects from conception to deployment.

Required Skills

Artificial Intelligence Quantum Computing Machine Learning Systems Architecture Python C++ Quantum Algorithms Cloud Computing Kubernetes Docker TensorFlow

Ready to Take This Challenge?

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