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Information Technology 🏒 Full Time ⭐️ Verified

Lead Quantum AI Architect | Project 2026

NovaTech Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are pioneering the next frontier of intelligence with our exclusive Project 2026 initiative. NovaTech Dynamics is seeking a visionary Lead Quantum AI Architect to spearhead the development of hybrid quantum-classical machine learning systems. If you are driven by the challenge of solving intractable problems and shaping the future of computing, this is your opportunity to lead a world-class technical team.

In this role, you will bridge the gap between theoretical quantum mechanics and practical AI deployment, ensuring our solutions are secure, scalable, and revolutionary.

Responsibilities

  • Architect and implement scalable quantum algorithms tailored for complex machine learning workloads.
  • Lead the research and development of post-quantum cryptography integration strategies.
  • Collaborate cross-functionally with hardware engineers to optimize quantum processor interfaces.
  • Mentor a team of data scientists and quantum engineers to foster technical excellence and innovation.
  • Define the technical roadmap for the 2026 infrastructure rollout, ensuring alignment with business goals.
  • Publish high-impact research papers and present technical findings to global stakeholders.

Qualifications

  • Master’s degree or PhD in Computer Science, Physics, Applied Mathematics, or a related quantitative field.
  • Proven experience with quantum computing frameworks such as Qiskit, Cirq, or PennyLane.
  • Strong proficiency in Python, C++, and modern distributed systems architecture.
  • Deep understanding of classical and quantum machine learning algorithms, including neural networks and variational circuits.
  • Demonstrated ability to communicate complex technical concepts to both technical and non-technical audiences.

Required Skills

Quantum Computing Qiskit Machine Learning Python C++ Distributed Systems Cryptography Research

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