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Information Technology 🏒 Full Time ⭐️ Verified

Senior Quantum Systems Architect

Nexus 2026
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to define the future of technology? Nexus 2026 is seeking a visionary Senior Quantum Systems Architect to lead our groundbreaking research division. We are building the foundational infrastructure for the pivotal year of 2026, focusing on the intersection of quantum computing and artificial intelligence.

In this role, you will not just write code; you will architect the future. You will be responsible for designing scalable quantum processing units and ensuring the security of decentralized neural networks. If you are passionate about pushing the boundaries of what is possible in 2026 and beyond, we want to hear from you.

Responsibilities

  • Design and implement scalable quantum computing architectures aligned with the 2026 roadmap.
  • Lead a high-performance team of engineers in developing proprietary AI algorithms and quantum software.
  • Collaborate with cross-functional teams to integrate quantum solutions into existing cloud infrastructures.
  • Conduct rigorous testing and optimization of hardware-software interfaces to ensure maximum efficiency.
  • Define technical roadmaps and mentor junior developers on advanced systems design and quantum mechanics.

Qualifications

  • Master’s degree or PhD in Computer Science, Physics, or Electrical Engineering (with a focus on Quantum Mechanics).
  • 10+ years of experience in system architecture, with 3+ years specifically in quantum computing or AI.
  • Deep understanding of quantum algorithms and their practical applications.
  • Proficiency in Python, C++, and Qiskit; familiarity with TensorFlow or PyTorch is a plus.
  • Experience with major cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).

Required Skills

Quantum Computing System Architecture AI/ML Python C++ Cloud Infrastructure Quantum Mechanics Neural Networks

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