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Lead Quantum AI Architect (2026 Roadmap)

Omni-Systems Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to define the future of technology? Omni-Systems is seeking a visionary Lead Quantum AI Architect to spearhead the development of our proprietary 2026 roadmap. We are building the bridge between classical computing and quantum supremacy, and we need a technical leader who thrives on solving the unsolvable.

In this role, you will not just write code; you will architect the very fabric of our next-generation neural networks. You will work with a world-class team of physicists, data scientists, and engineers to integrate quantum algorithms into real-world applications. If you are passionate about the convergence of quantum mechanics and artificial intelligence, this is your opportunity to leave a lasting legacy.

Why Join Us?

  • Work on cutting-edge technology that will define the industry standard for 2026 and beyond.
  • Competitive compensation package including equity options.
  • Flexible remote-first culture with state-of-the-art equipment provided.

Responsibilities

  • Lead the architectural design and implementation of hybrid Quantum-Classical AI models for our 2026 product release.
  • Collaborate with cross-functional teams to translate theoretical physics research into scalable software solutions.
  • Optimize quantum circuits to reduce error rates and improve computational efficiency.
  • Establish best practices for quantum software development, testing, and deployment.
  • Stay at the forefront of quantum computing advancements (e.g., NISQ devices, Qiskit, Cirq) and integrate relevant breakthroughs into our roadmap.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.

Qualifications

  • PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related quantitative field with a focus on Quantum Computing or AI.
  • Minimum of 5 years of experience in software engineering, with a strong focus on machine learning and high-performance computing.
  • Hands-on experience with quantum programming frameworks such as Qiskit, Cirq, or PennyLane.
  • Proficiency in Python, C++, and CUDA.
  • Demonstrated ability to work with complex data structures and optimization algorithms.
  • Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders.

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Python C++ CUDA Qiskit Neural Networks Algorithm Design System Architecture

Ready to Take This Challenge?

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