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Senior AI & Quantum Systems Architect (2026 Vision)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 175.000 – USD 260.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

We are pioneering the future of intelligent computing and are looking for a visionary Senior AI Architect to lead our 2026 roadmap. At Nexus Horizon Labs, we are building the infrastructure for the next era of human-machine symbiosis.

In this pivotal role, you will design the core neural architectures and quantum-integrated systems that will power our autonomous platforms. You will not just write code; you will define the standards for Artificial General Intelligence (AGI) and ethical machine learning.

Join us in shaping the technological landscape of tomorrow.

Responsibilities

  • Architect Next-Gen Neural Networks: Design scalable, high-performance deep learning models tailored for 2026 infrastructure standards.
  • Quantum Integration: Lead the research and implementation of hybrid quantum-classical algorithms to solve complex computational problems.
  • System Optimization: Oversee the deployment of AI systems on distributed cloud environments, ensuring sub-millisecond latency.
  • Roadmap Leadership: Define the technical vision and milestones for our AI evolution leading up to 2026.
  • Ethical AI Compliance: Establish frameworks for bias mitigation, transparency, and safety in autonomous systems.
  • Talent Development: Mentor a high-performing team of machine learning engineers and data scientists.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Mathematics, or a related technical field.
  • Experience: 10+ years of professional experience in software engineering and machine learning.
  • Technical Stack: Expert proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Docker).
  • Specialized Knowledge: Deep understanding of quantum computing principles or experience with quantum simulation libraries.
  • Problem Solving: Proven track record of solving unsolved problems in NLP, Computer Vision, or Reinforcement Learning.
  • Leadership: Strong ability to communicate complex technical concepts to cross-functional stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Quantum Computing Distributed Systems Cloud Architecture NLP Deep Learning

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