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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI & Quantum Architect | San Francisco, CA

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

We are looking for a visionary Lead AI & Quantum Architect to join Nexus Horizon. We are building the foundational infrastructure for the 2026 technological era, merging deep learning with quantum computing to solve humanity's most complex problems.

In this role, you will define the architectural roadmap for our proprietary AI systems, ensuring scalability, security, and future-proofing for the next decade of innovation. If you are passionate about the intersection of artificial intelligence and quantum mechanics, we want to hear from you.

Why Join Us?

  • Work on groundbreaking projects that define the future.
  • Competitive compensation and equity packages.
  • Flexible remote and hybrid work options.
  • Access to state-of-the-art computing resources.

Responsibilities

  • Architectural Leadership: Design and oversee the implementation of scalable AI models and quantum computing interfaces.
  • R&D Strategy: Spearhead research initiatives focused on next-gen algorithms, predictive analytics, and neural network optimization.
  • Team Mentorship: Lead a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • System Integration: Bridge the gap between theoretical AI models and practical, real-world hardware implementations.
  • Performance Tuning: Optimize system latency and throughput to handle massive datasets and complex computations.
  • Cross-Functional Collaboration: Partner with product and engineering teams to translate technical requirements into actionable roadmaps.

Qualifications

  • Education: Master’s or PhD in Computer Science, Physics, Mathematics, or a related field (PhD preferred).
  • Experience: 8+ years of experience in software architecture, with at least 3 years specifically in AI/ML or Quantum Computing.
  • Technical Skills: Proficiency in Python, C++, TensorFlow, PyTorch, and experience with quantum simulators (e.g., Qiskit, Cirq).
  • Problem Solving: Demonstrated ability to solve complex, unstructured problems in high-pressure environments.
  • Leadership: Proven track record of leading technical teams and managing cross-functional projects.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python C++ TensorFlow PyTorch Quantum Computing Machine Learning AI Architecture Cloud Computing System Design Deep Learning

Ready to Take This Challenge?

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