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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Infrastructure Architect | San Francisco, CA

QuantumHorizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Welcome to the future of intelligent computing. At QuantumHorizon Labs, we are pioneering the next generation of artificial intelligence systems. We are seeking a visionary Senior AI Infrastructure Architect to lead the engineering efforts behind our state-of-the-art neural networks and distributed computing platforms.

In this pivotal role, you will be responsible for designing the backbone of our AI ecosystem, ensuring our models scale efficiently, securely, and cost-effectively. If you are passionate about optimizing complex systems and pushing the boundaries of what's possible in machine learning infrastructure, we want to meet you.

Why Join Us?

  • Work on cutting-edge projects that define the industry standard.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with premium benefits.
  • Access to the latest hardware and cloud resources.

Responsibilities

  • Architect and design highly scalable, distributed systems for training and deploying large-scale machine learning models.
  • Optimize GPU cluster utilization and reduce inference latency for real-time AI applications.
  • Build and maintain robust MLOps pipelines to automate model training, validation, and deployment.
  • Collaborate closely with data scientists and researchers to translate complex model requirements into resilient infrastructure solutions.
  • Ensure system security, data integrity, and disaster recovery protocols are strictly followed.
  • Drive technical strategy and mentor junior engineers to foster a culture of innovation and excellence.

Qualifications

  • 5+ years of experience in software engineering or systems architecture, with a specific focus on AI/ML infrastructure.
  • Deep proficiency in Python, C++, and modern scripting languages.
  • Extensive knowledge of containerization technologies (Docker, Kubernetes) and cloud platforms (AWS, Google Cloud, or Azure).
  • Experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX.
  • Strong background in distributed computing, high-performance computing (HPC), and parallel processing.
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python C++ Kubernetes AWS MLOps PyTorch Distributed Systems High-Performance Computing Cloud Architecture Machine Learning

Ready to Take This Challenge?

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