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Lead Quantum AI Architect

OmniFuture Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

The Future is Now. Are you ready to define the operating system of the future? OmniFuture Technologies is seeking a visionary Lead Quantum AI Architect to spearhead our next-generation computing initiatives. In 2026, the boundary between theoretical physics and practical application will vanish, and we need a pioneer to bridge that gap.

We are building the infrastructure that will power the next century of human discovery. As our Lead Quantum AI Architect, you won't just write code; you will engineer the logic that allows artificial intelligence to harness the raw power of quantum mechanics.

Why Join Us?

  • Shape the Unseen: Work on projects that redefine the limits of computation and intelligence.
  • Elite Team: Collaborate with world-class physicists, cryptographers, and engineers.
  • Premium Compensation: Base salary ranging from $180k to $260k + equity package.
  • State-of-the-Art Environment: Access to the latest quantum processing units (QPUs) and cloud infrastructure.

Responsibilities

  • Design and implement high-level quantum algorithms tailored for machine learning and optimization problems.
  • Bridge the gap between classical neural networks and quantum computing architectures to maximize processing power.
  • Lead a cross-functional team of quantum engineers and data scientists in prototyping and deployment.
  • Optimize existing codebases to ensure compatibility with emerging quantum hardware standards.
  • Conduct research on post-quantum cryptography and secure communication protocols.
  • Define technical roadmaps for the company's quantum AI platform.
  • Present architectural blueprints and technical progress to executive leadership and stakeholders.

Qualifications

  • Ph.D. in Computer Science, Physics, Mathematics, or a related quantitative field.
  • 5+ years of professional experience in software engineering, with at least 2 years specifically in quantum computing or AI.
  • Deep understanding of quantum mechanics principles and their application in computing.
  • Proficiency in programming languages such as Python, C++, and quantum SDKs like Qiskit or Cirq.
  • Strong background in linear algebra, probability theory, and optimization.
  • Proven track record of leading technical teams and managing complex projects.
  • Excellent communication skills with the ability to explain complex concepts to non-technical audiences.

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Python Qiskit C++ Neural Networks Algorithms Cloud Architecture

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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