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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Quantum Systems Architect

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are building the infrastructure for the year 2026 and beyond. Nexus Future Systems is seeking a visionary Senior AI & Quantum Systems Architect to lead our research and development division. In this pivotal role, you will design the next generation of intelligent algorithms and quantum-ready neural networks, pushing the boundaries of what is possible in machine learning and computational science.

Our mission is to bridge the gap between theoretical AI and practical, scalable solutions that will define the future of global technology. If you are a thought leader passionate about solving complex problems and shaping the technological landscape, we want to hear from you.

Responsibilities

  • Architect and design scalable, high-performance AI and quantum computing systems tailored for 2026 infrastructure standards.
  • Lead the research and implementation of cutting-edge machine learning models, including deep learning and reinforcement learning frameworks.
  • Collaborate with cross-functional teams to integrate AI solutions into core products, ensuring seamless scalability and security.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Define technical roadmaps and best practices for AI deployment in cloud and edge environments.
  • Conduct rigorous testing and optimization to ensure system reliability and efficiency under massive data loads.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 7+ years of professional experience in software engineering, with a strong focus on AI/ML architecture.
  • Proven expertise in Python, TensorFlow, PyTorch, and experience with quantum computing libraries (e.g., Qiskit, Cirq).
  • Strong understanding of cloud architecture (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes).
  • Excellent problem-solving skills with a demonstrated ability to translate complex business requirements into technical specifications.
  • Experience leading high-performing engineering teams and managing technical projects from conception to deployment.

Required Skills

Python TensorFlow PyTorch Quantum Computing Machine Learning Cloud Architecture AWS Kubernetes Deep Learning System Design

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