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Lead Quantum Architect (Project 2026) | San Francisco, CA

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to architect the impossible? Nexus Future Labs is seeking a visionary Lead Quantum Architect to spearhead Project 2026, our groundbreaking initiative to merge Artificial General Intelligence with scalable Quantum Computing.

In this role, you won't just write code; you will define the computational paradigms of the next decade. We are looking for a technical leader who thrives in ambiguity and possesses the rare ability to bridge the gap between theoretical physics and practical software engineering.

Why join Project 2026?

  • Work on the bleeding edge of technology that will redefine the global landscape.
  • Competitive compensation package including equity and performance bonuses.
  • Flexible remote-first policy with access to state-of-the-art HQ in San Francisco.

Responsibilities

  • Architect and deploy scalable quantum algorithms for complex AI training models.
  • Lead a cross-functional team of physicists, engineers, and data scientists.
  • Define the technical roadmap for Project 2026, ensuring alignment with long-term strategic goals.
  • Optimize quantum hardware-software interfaces to maximize computational efficiency.
  • Mentor junior engineers and foster a culture of innovation and rigorous problem-solving.

Qualifications

  • PhD or Master’s degree in Computer Science, Physics, or a related quantitative field.
  • 10+ years of experience in software architecture, with 5+ years specifically in Quantum Computing or High-Performance Computing (HPC).
  • Deep proficiency in Python, C++, and Qiskit or similar quantum programming frameworks.
  • Proven track record of leading high-performance engineering teams through complex technical transitions.
  • Experience with cloud infrastructure (AWS, Azure, or Google Cloud) and distributed systems.

Required Skills

Quantum Computing Artificial Intelligence Python C++ System Architecture Machine Learning High-Performance Computing Leadership

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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