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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Quantum Systems Architect

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

About the Opportunity

Nexus Future Labs is pioneering the integration of Artificial Intelligence and Quantum Computing to solve complex global challenges. We are looking for a visionary Senior AI & Quantum Systems Architect to lead our R&D division in shaping the technological landscape of 2026 and beyond.

In this pivotal role, you will bridge the gap between theoretical quantum mechanics and practical deep learning architectures. You will be responsible for designing scalable systems that leverage quantum supremacy for real-world applications, positioning our company as a leader in the next industrial revolution.

Why Join Us?

  • Work on cutting-edge technology that defines the next decade.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with a San Francisco hub.

Responsibilities

  • System Design: Architect hybrid quantum-classical algorithms designed to outperform classical models by 2026.
  • R&D Leadership: Lead a team of researchers in developing novel neural network architectures and quantum kernels.
  • Integration: Integrate Large Language Models (LLMs) with quantum processing units (QPUs) for enhanced reasoning capabilities.
  • Performance Optimization: Optimize model inference times and energy efficiency for edge computing environments.
  • Strategic Planning: Define the technical roadmap for the company's transition into autonomous AI agents.
  • Compliance: Ensure all systems adhere to emerging AI safety and ethical standards.

Qualifications

  • Education: Master’s or PhD in Computer Science, Physics, or Mathematics (or equivalent experience in high-level research).
  • Experience: 7+ years of experience in AI/ML engineering with a proven track record of leading technical projects.
  • Tech Stack: Proficiency in Python, C++, TensorFlow, PyTorch, and quantum SDKs like Qiskit or Cirq.
  • Domain Knowledge: Deep understanding of quantum mechanics applied to computing, entanglement, and superposition.
  • Soft Skills: Exceptional communication skills and the ability to translate complex technical concepts for diverse stakeholders.
  • Problem Solving: Demonstrated ability to solve unsolved problems in high-dimensional data spaces.

Required Skills

Artificial Intelligence Quantum Computing Machine Learning Python C++ TensorFlow PyTorch System Architecture Deep Learning Quantum Algorithms Research

Ready to Take This Challenge?

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