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Senior Quantum AI Architect - The 2026 Initiative

Nexus Future Technologies
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

We are at the forefront of innovation, building the core architecture for the 2026 Initiative. Nexus Future Technologies is seeking a visionary Senior Quantum AI Architect to lead the development of next-generation neural interfaces and quantum simulation engines.

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

Key Highlights:

  • Architect systems that will define the standard for 2026 and beyond.
  • Work with a world-class team of researchers and engineers.
  • Competitive compensation with performance-based equity.

Responsibilities

  • Lead the design and implementation of proprietary quantum algorithms tailored for large-scale neural networks.
  • Optimize deep learning models to run efficiently on hybrid classical-quantum hardware environments.
  • Collaborate with hardware engineers to improve computational throughput and energy efficiency.
  • Define technical roadmaps for the 2026 Initiative, ensuring scalability and future-proofing.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Translate complex research papers into deployable production software.

Qualifications

  • PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related STEM field.
  • 7+ years of experience in AI/ML engineering with a specific focus on quantum computing or advanced simulation.
  • Expert proficiency in Python, C++, and frameworks such as TensorFlow, PyTorch, or Qiskit.
  • Deep understanding of linear algebra, probability, and quantum mechanics principles.
  • Experience with distributed computing systems and cloud infrastructure (AWS/GCP).
  • Strong track record of leading high-impact engineering projects from conception to deployment.

Required Skills

Python C++ TensorFlow Quantum Computing AWS Machine Learning Distributed Systems Neural Networks Algorithm Design

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