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AI & Quantum Systems Architect (2026 Vision)

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

Job Description

Join the Architects of Tomorrow. Nexus Future Labs is seeking a visionary AI & Quantum Systems Architect to spearhead our 2026 Roadmap. We are not just building software for today; we are engineering the infrastructure for a self-evolving digital consciousness. If you thrive on pushing the boundaries of what is computationally possible, this is your opportunity to define the standard.

In this pivotal role, you will bridge the gap between theoretical quantum mechanics and practical deep learning architectures. You will lead a team of elite engineers in developing next-generation neural networks capable of solving complex global challenges in real-time.

Responsibilities

  • Design & Architect: Design scalable, fault-tolerant systems integrating quantum computing paradigms with classical deep learning frameworks.
  • Lead Innovation: Spearhead the research and implementation of proprietary AI algorithms for autonomous decision-making systems.
  • Technical Strategy: Define the technical roadmap for 2026, ensuring alignment with long-term business goals and emerging tech trends.
  • Team Leadership: Mentor senior engineers and foster a culture of high-performance innovation and continuous learning.
  • Security & Ethics: Oversee the security of sensitive data streams and ensure ethical guidelines are integrated into AI model development.
  • System Optimization: Optimize model latency and throughput for edge deployment in decentralized networks.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Physics, or a related technical field with a focus on Artificial Intelligence.
  • Experience: 10+ years of experience in software engineering, with at least 5 years in high-scale AI/ML architecture.
  • Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and familiarity with Qiskit or Cirq for quantum simulation.
  • Cloud Mastery: Proven track record architecting solutions on AWS, GCP, or Azure with a focus on serverless and containerized environments.
  • Soft Skills: Exceptional leadership abilities, strategic thinking, and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Quantum Computing System Architecture Cloud Computing Python TensorFlow Deep Learning Leadership AWS GCP

Ready to Take This Challenge?

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