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Future Tech Lead: Quantum AI Architect | San Francisco, CA

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
7 Juli 2026
Deadline
7 Jul 2027

Job Description

Join the Vanguard of Tomorrow.

Nexus Future Labs is pioneering the technological landscape for the year 2026 and beyond. We are seeking a visionary Quantum AI Architect to lead our research division. In this pivotal role, you will bridge the gap between theoretical quantum mechanics and practical artificial intelligence, designing systems that will define the next era of human-computer interaction.

As a key member of our elite engineering team, you will not just adapt to the future; you will engineer it. If you are driven by the challenge of solving the unsolvable and possess an insatiable curiosity about the boundaries of computing, we want to hear from you.

Responsibilities

  • Architect and design scalable quantum computing frameworks integrated with deep learning models.
  • Lead high-level research initiatives focused on quantum advantage in AI applications.
  • Collaborate with cross-functional teams of physicists, software engineers, and data scientists.
  • Optimize quantum algorithms for real-world latency and computational efficiency.
  • Define technical roadmaps for the '2026' infrastructure upgrade.
  • Mentor junior engineers and foster a culture of innovation and continuous learning.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Physics, or a related technical field with a focus on Quantum Mechanics.
  • 5+ years of professional experience in AI/ML architecture and software development.
  • Extensive experience with quantum computing frameworks (Qiskit, Cirq, or similar) and quantum simulators.
  • Strong proficiency in Python, C++, and distributed system design.
  • Proven track record of leading technical teams and delivering complex projects on time.
  • Familiarity with cloud infrastructure (AWS, Azure, GCP) and quantum cloud services.

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Python C++ Distributed Systems Quantum Algorithms Cloud Architecture Leadership

Ready to Take This Challenge?

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