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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Infrastructure Lead (2026 Roadmap)

Horizon Industries
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are standing on the edge of a technological revolution. As we look toward 2026, the boundaries between artificial intelligence and biological cognition are blurring. Horizon Industries is building the foundational infrastructure for the next era of intelligence. We are seeking a visionary Senior AI Infrastructure Lead to architect scalable, quantum-ready neural networks that will power our global ecosystem.

In this pivotal role, you won't just be maintaining systems; you will be defining the technical roadmap for 2026. You will work alongside world-class researchers to solve the most complex data challenges of the decade. If you are passionate about the future of technology and possess a deep understanding of high-performance computing, we want to hear from you.

Why Join Us?

  • Shape the future of AI before it happens.
  • Competitive equity and salary package.
  • Access to cutting-edge hardware and research facilities.
  • Remote-first culture with a hub in the heart of SF.

Responsibilities

  • Design and implement high-performance computing architectures for large-scale neural networks.
  • Lead the technical roadmap for AI infrastructure, specifically focusing on 2026 scalability goals.
  • Optimize model inference for edge devices and quantum processors.
  • Collaborate with cross-functional teams to integrate AI models into consumer products.
  • Mentor junior engineers and define best practices for data engineering and model deployment.
  • Ensure system reliability, security, and low-latency performance under heavy load.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field; PhD preferred.
  • 5+ years of experience in software engineering, with a focus on AI/ML infrastructure.
  • Deep expertise in Python, C++, and frameworks such as PyTorch or TensorFlow.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Understanding of quantum computing principles and hardware acceleration.
  • Strong leadership skills with a track record of managing technical teams.
  • Excellent problem-solving abilities and a passion for innovation.

Required Skills

Python PyTorch TensorFlow AWS Kubernetes Docker Machine Learning Deep Learning High-Performance Computing Quantum Computing Cloud Architecture Leadership

Ready to Take This Challenge?

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