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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Quantum Systems Architect

Nebula Horizon Tech
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are seeking a visionary Senior AI & Quantum Systems Architect to lead the technological roadmap for 2026 and beyond. At Nebula Horizon Tech, we are building the infrastructure that will define the next decade of computing. You will be responsible for designing hybrid quantum-classical architectures that push the boundaries of what is possible.

This is a rare opportunity to work at the intersection of theoretical physics and practical engineering. You will drive innovation, mentor elite engineering talent, and deploy systems that scale to petabyte levels.

Key Highlights:

  • Shape the future of AI and Quantum Computing.
  • Work with state-of-the-art hardware and software stacks.
  • Competitive compensation and equity packages.

Responsibilities

  • Architect and design scalable quantum-classical hybrid systems tailored for complex problem-solving.
  • Lead the research, integration, and deployment of advanced AI models, including LLMs and Reinforcement Learning.
  • Define and execute the technical vision for our 2026 infrastructure roadmap.
  • Optimize database performance and system latency in multi-cloud environments.
  • Mentor junior and mid-level engineers, conducting rigorous code reviews and technical workshops.
  • Collaborate with data scientists to translate theoretical models into production-ready code.
  • Ensure system security, compliance, and high availability standards are met.

Qualifications

  • Master’s degree or PhD in Computer Science, Physics, or Mathematics.
  • 8+ years of experience in software engineering, with at least 3 years in AI/ML or High-Performance Computing.
  • Expert proficiency in Python, C++, and Rust.
  • Deep experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes).
  • Hands-on experience with quantum programming frameworks (Qiskit, Cirq) or neural network libraries (PyTorch, TensorFlow).
  • Strong understanding of distributed systems, microservices, and cloud-native design patterns.
  • Excellent communication skills and ability to thrive in a fast-paced, innovative environment.

Required Skills

Python C++ Rust Kubernetes AWS Quantum Computing PyTorch TensorFlow Machine Learning Distributed Systems

Ready to Take This Challenge?

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