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Information Technology 🏒 Full Time ⭐️ Verified

Senior Quantum Systems Architect

2026 Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
31 Mei 2026
Deadline
31 Mei 2027

Job Description

Join the Architects of the Future.

2026 Systems is pioneering the convergence of quantum computing and artificial intelligence. We are looking for a Senior Quantum Systems Architect to lead the design and deployment of next-generation processing solutions in San Francisco. If you thrive in high-pressure environments and are passionate about solving complex computational problems, we want to meet you.

Our Mission:

To leverage quantum mechanics to solve problems currently deemed unsolvable by classical computers, driving efficiency across global industries.

Key Highlights:

  • Impactful Work: Build the infrastructure that powers the AI of tomorrow.
  • Competitive Compensation: A lucrative salary package with performance-based bonuses.
  • Equity Opportunity: Join the founding team and own a piece of the future.
  • Modern Environment: Collaborate with the brightest minds in a fully remote-first, hybrid-friendly culture.

Responsibilities

  • Architect and design scalable quantum computing frameworks and hybrid AI systems.
  • Lead the integration of quantum processors (QPUs) into cloud-native environments.
  • Define technical strategies and best practices for quantum algorithm implementation.
  • Mentor a diverse team of quantum engineers, researchers, and data scientists.
  • Conduct rigorous performance testing and optimization of quantum circuits.
  • Stay abreast of the latest developments in quantum physics and machine learning to drive innovation.

Qualifications

  • PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related technical field.
  • 10+ years of experience in software architecture, with at least 3 years in quantum computing or advanced AI systems.
  • Proficiency in Python, C++, and Rust, with experience in quantum programming languages (e.g., Qiskit, Cirq, or Q#).
  • Deep understanding of linear algebra, probability, and optimization theory.
  • Experience with cloud infrastructure providers (AWS, Azure, or Google Cloud) and containerization (Docker/Kubernetes).
  • Strong problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Quantum Computing AI Python C++ Machine Learning Cloud Architecture Docker Kubernetes Quantum Algorithms System Design

Ready to Take This Challenge?

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