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Information Technology 🏢 Full Time ⭐️ Verified

Principal AI & Spatial Computing Architect

Nebula Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

We are seeking a visionary Principal AI & Spatial Computing Architect to join our elite team. As we look ahead to the technological landscape of 2026, we need a thought leader who can bridge the gap between current capabilities and future breakthroughs in spatial computing, generative AI, and immersive web environments.

In this role, you will define the architectural blueprints for our next-generation platforms, ensuring scalability, security, and innovation. You will work at the intersection of hardware and software, shaping the way users interact with digital intelligence.

Join us in building the digital infrastructure that will define the user experience of tomorrow.

Responsibilities

  • Architect and lead the development of scalable infrastructure designed for the 2026 tech ecosystem.
  • Define technical roadmaps for spatial computing and neural interface integration.
  • Collaborate with cross-functional teams to drive the adoption of next-gen AI models.
  • Ensure system resilience and performance optimization for high-volume data processing.
  • Establish best practices for AI ethics and data governance in future-proof systems.
  • Mentor senior engineering staff and drive technical decision-making.

Qualifications

  • 10+ years of experience in software architecture, with a focus on AI and spatial computing.
  • Deep understanding of the projected technological trends for the year 2026.
  • Proficiency in Python, C++, and Rust.
  • Experience with spatial mapping and 3D rendering engines (e.g., Unity, Unreal).
  • Strong background in cloud architecture (AWS, Azure, or GCP).
  • Excellent communication skills and the ability to translate complex concepts for diverse stakeholders.

Required Skills

Artificial Intelligence Spatial Computing Software Architecture Python C++ Cloud Computing System Design Neural Networks

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