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Principal Quantum AI Architect - San Francisco, CA

NextGen Systems
San Francisco, CA
Estimated Salary
USD 180.000 – USD 280.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Are you ready to architect the future of intelligence? NextGen Systems is seeking a visionary Principal Quantum AI Architect to spearhead the next generation of computing infrastructure. As we prepare for the transformative era of 2026, you will bridge the gap between cutting-edge quantum mechanics and practical artificial intelligence applications.

In this role, you won't just write code; you will define the architectural paradigms that will power the world's most complex problem-solving engines. You will lead a team of elite engineers and physicists in building hybrid quantum-classical systems that redefine efficiency and speed.

Why join us?

  • Work at the bleeding edge of technology with a company that leads the industry.
  • Competitive compensation package with equity options.
  • Flexible remote-first policy with a focus on in-office collaboration.
  • Access to state-of-the-art quantum hardware and cloud infrastructure.

Responsibilities

  • Design and implement scalable quantum algorithms optimized for 2026+ hardware architectures.
  • Lead the architectural vision for hybrid quantum-classical machine learning models.
  • Collaborate with data scientists and physicists to translate theoretical research into production-ready code.
  • Mentor senior engineers and junior developers on quantum programming best practices and quantum error correction.
  • Oversee system integration testing and ensure the reliability of distributed quantum networks.
  • Stay ahead of industry trends in quantum computing, cryptography, and AI convergence.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Physics, Mathematics, or a related quantitative field.
  • Minimum of 7 years of experience in software engineering, with at least 3 years specifically in quantum computing or advanced AI.
  • Proficiency in programming languages such as Python, C++, and Rust with deep knowledge of quantum libraries (e.g., Qiskit, Cirq, or PyQuil).
  • Proven track record of deploying large-scale machine learning systems in production environments.
  • Strong understanding of quantum mechanics, linear algebra, and optimization theory.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Quantum Computing Machine Learning Python C++ Rust Quantum Algorithms Cloud Infrastructure AI System Architecture

Ready to Take This Challenge?

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