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Quantum AI Architect (2026 Cohort)

Aether Horizon Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Step into the future of technology. Aether Horizon Labs is seeking a visionary Quantum AI Architect to join our exclusive 2026 Cohort. We are building the foundational infrastructure for the post-silicon era, bridging the gap between classical machine learning and quantum supremacy.

In this role, you will lead the design and implementation of hybrid quantum-classical algorithms, ensuring our solutions are scalable, secure, and ready for deployment in the year 2026 and beyond. You will collaborate with world-class researchers, engineers, and data scientists to solve some of the most complex problems in cryptography, drug discovery, and optimization.

Why Join Us?

  • Future-Proof Your Career: Work on bleeding-edge technology that defines the next decade of computing.
  • Impactful Work: Your code will directly influence the trajectory of AI and quantum physics.
  • Top-Tier Compensation: Competitive salary, equity, and benefits for the 2026 Cohort.

Responsibilities

  • Design and architect scalable quantum computing solutions integrated with classical AI pipelines.
  • Develop and optimize quantum algorithms (QAOA, VQE, Grover's) for practical business applications.
  • Collaborate with hardware teams to fine-tune software for emerging quantum processors.
  • Mentor junior researchers and engineers in quantum mechanics and machine learning principles.
  • Ensure the security and robustness of quantum-encrypted data transmission systems.
  • Stay ahead of the curve on emerging quantum computing trends and regulatory frameworks.

Qualifications

  • PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related field.
  • 5+ years of experience in software engineering, machine learning, or quantum computing research.
  • Proficiency in Python, C++, and quantum programming frameworks (Qiskit, Cirq, or Pennylane).
  • Deep understanding of linear algebra, probability theory, and optimization algorithms.
  • Experience with cloud platforms (AWS, Azure, or Google Cloud) and containerization (Docker/Kubernetes).
  • Strong problem-solving skills and the ability to communicate complex technical concepts to diverse stakeholders.

Required Skills

Quantum Computing AI/ML Python C++ Qiskit Cirq Cloud Architecture Linear Algebra Optimization Docker Kubernetes

Ready to Take This Challenge?

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