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Lead AI & Quantum Architect | Shaping the Future (2026)

Nexus Future Tech
San Francisco
Estimated Salary
USD 190.000 – USD 300.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

We are on a mission to architect the technological landscape of 2026 and beyond. Nexus Future Tech is seeking a visionary Lead AI & Quantum Architect to spearhead our advanced computing initiatives. If you possess an unyielding drive to push the boundaries of artificial intelligence and quantum mechanics, we want you to help us build the systems that will define the next decade.

In this pivotal role, you will bridge the gap between theoretical physics and practical software engineering, deploying next-gen neural networks and quantum algorithms to solve complex, real-world problems. Join us in transforming abstract concepts into scalable, high-performance reality.

Responsibilities

  • Architect and deploy scalable quantum computing solutions integrated with classical AI frameworks.
  • Lead a team of elite engineers and data scientists in developing cutting-edge machine learning models.
  • Define the technical roadmap for AI infrastructure, ensuring readiness for the 2026 technological landscape.
  • Collaborate with cross-functional teams to translate complex business requirements into robust technical specifications.
  • Optimize algorithmic efficiency and reduce latency in high-stakes data processing environments.
  • Mentor junior developers, fostering a culture of innovation and continuous learning.

Qualifications

  • Master’s or PhD in Computer Science, Physics, or a related technical field.
  • 5+ years of experience in software engineering, with at least 2 years in AI or Quantum Computing.
  • Proficiency in Python, C++, and quantum programming languages (e.g., Qiskit, Cirq).
  • Deep understanding of neural networks, deep learning architectures, and quantum gate operations.
  • Strong experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies.
  • Proven track record of leading technical teams through the full software development lifecycle.

Required Skills

Artificial Intelligence Quantum Computing Machine Learning Python C++ Cloud Architecture Deep Learning Quantum Algorithms Leadership System Design

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