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Information Technology 🏢 Full Time ⭐️ Verified

Future Tech Lead: Generative AI & Spatial Computing

Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Horizon Systems is at the forefront of defining the technological landscape for the year 2026. We are seeking a visionary Future Tech Lead to spearhead our initiative in integrating Generative AI with next-generation Spatial Computing environments. You will be responsible for architecting the neural infrastructure that powers our immersive solutions and autonomous agents.

In this role, you will not just follow trends; you will set them. We need a leader who can bridge the gap between theoretical research and production-grade engineering, ensuring our platforms are ready for the rapid evolution of AI capabilities.

Responsibilities

  • Architect and oversee the development of scalable Generative AI models tailored for spatial computing ecosystems.
  • Define the technical roadmap and strategic vision for Horizon Systems’ AI infrastructure leading up to 2026.
  • Collaborate with quantum computing researchers to optimize algorithmic efficiency for low-latency neural networks.
  • Lead and mentor a high-performance team of AI engineers, data scientists, and 3D interaction specialists.
  • Establish rigorous security and ethical frameworks for autonomous AI agents and neural interfaces.
  • Drive the integration of Agentic workflows into consumer and enterprise hardware platforms.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in leading AI/ML architecture.
  • Deep expertise in Deep Learning frameworks (PyTorch, TensorFlow, JAX) and distributed computing systems.
  • Proven track record of deploying Large Language Models (LLMs) and Multimodal AI systems in production environments.
  • Strong understanding of Spatial Computing, AR/VR, and haptic feedback technologies.
  • Master’s degree or PhD in Computer Science, Computational Neuroscience, or a related field.
  • Experience with edge computing and optimizing AI models for resource-constrained hardware.

Required Skills

Generative AI Spatial Computing Deep Learning PyTorch TensorFlow Distributed Systems Edge Computing AR/VR Neural Interfaces Python C++

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