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Senior Quantum Systems Architect (2026 Project)

OmniCorp 2026
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are seeking a visionary Senior Quantum Systems Architect to join the 2026 Project at OmniCorp. This is a rare opportunity to define the technological landscape of the near future, focusing on scalable quantum computing solutions and next-generation AI integration.

In this role, you will bridge the gap between theoretical physics and practical engineering, ensuring our infrastructure is ready for the demands of the year 2026 and beyond.

Responsibilities

  • Architectural Leadership: Design and implement scalable quantum computing architectures that integrate seamlessly with existing cloud infrastructures.
  • R&D Strategy: Lead research initiatives to explore advancements in quantum error correction and neural network optimization.
  • System Integration: Oversee the deployment of high-performance computing clusters and ensure 99.99% uptime for critical simulations.
  • Team Mentorship: Guide a cross-functional team of quantum physicists and software engineers in best practices and innovative problem-solving.
  • Future-Proofing: Anticipate regulatory changes and technological shifts relevant to the 2026 timeline, advising stakeholders on strategic pivots.

Qualifications

  • Education: Master’s degree in Computer Science, Physics, or a related field (Ph.D. preferred).
  • Experience: 8+ years of experience in systems architecture, with specific expertise in quantum computing or advanced AI frameworks.
  • Technical Skills: Proficiency in Python, C++, and Rust; hands-on experience with quantum simulators (Qiskit, Cirq) and large-scale distributed systems.
  • Strategic Mindset: Proven track record of translating complex research into production-ready software solutions.
  • Communication: Exceptional ability to communicate technical concepts to non-technical stakeholders and executive leadership.

Required Skills

Quantum Computing AI Systems Architecture Python Cloud Computing Distributed Systems R&D

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