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Senior AI & Quantum Architect

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to define the infrastructure of the post-silicon era? Nexus Future Systems is seeking a visionary Senior AI & Quantum Architect to lead our next-generation computing initiatives. As we accelerate toward the AI revolution of 2026, you will be responsible for designing scalable architectures that merge classical machine learning with emerging quantum computing paradigms.

We are looking for a thought leader who thrives in ambiguity and possesses the technical depth to solve complex, unsolvable problems with modern algorithms. If you are passionate about the future of intelligence and want to build the systems that will power humanity's next leap, we want to hear from you.

Responsibilities

  • Architect and design hybrid AI/Quantum systems capable of processing exabytes of data with near-zero latency.
  • Lead the research and implementation of neuromorphic chip designs optimized for energy-efficient AI inference.
  • Collaborate with cross-functional teams of physicists, software engineers, and data scientists to bridge the gap between quantum theory and practical application.
  • Define technical roadmaps for integrating Generative AI models into decentralized quantum networks.
  • Optimize quantum circuit stability and error correction protocols for large-scale deployment.
  • Establish best practices for data governance and model interpretability in high-stakes environments.

Qualifications

  • PhD or Master’s degree in Computer Science, Quantum Physics, Applied Mathematics, or a related technical field.
  • Minimum of 8 years of experience in software architecture, with at least 3 years specifically focused on AI/ML systems.
  • Deep understanding of quantum computing concepts (Qubits, Superposition, Entanglement) and experience with quantum SDKs (e.g., Qiskit, Cirq).
  • Proficiency in Python, C++, and Rust, with a focus on high-performance computing (HPC).
  • Proven track record of leading engineering teams through the full software development lifecycle.
  • Strong grasp of neural network architectures and transformer models.

Required Skills

Python C++ Quantum Computing Machine Learning Deep Learning Neural Networks Cloud Infrastructure System Architecture HPC Qiskit

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