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Senior AI & Spatial Computing Architect (2026 Focus)

Nebula Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are seeking a visionary Senior AI & Spatial Computing Architect to spearhead our R&D initiatives for the 2026 technological landscape. At Nebula Horizon Labs, we are building the operating systems for the next generation of human-computer interaction. You will bridge the gap between advanced Artificial General Intelligence (AGI) and immersive spatial computing environments.

This is not just a coding role; it is a strategic leadership position where you will define the roadmap for our predictive AI models and spatial rendering engines. If you are passionate about shaping the future of technology and possess a deep understanding of the convergence of Neural Networks and WebXR, we want to meet you.

Responsibilities

  • Architect and deploy scalable AI models designed for the 2026 era, including predictive analytics and generative interfaces.
  • Integrate state-of-the-art Large Language Models (LLMs) with spatial computing frameworks to create immersive user experiences.
  • Lead the design of low-latency neural networks capable of real-time spatial mapping and object recognition.
  • Collaborate with cross-functional teams to define technical roadmaps that align with futuristic product visions.
  • Optimize existing codebases for quantum-ready architectures and edge computing environments.
  • Conduct deep research into emerging technologies such as neuromorphic computing and haptic feedback systems.

Qualifications

  • Master’s or PhD in Computer Science, Robotics, or a related field, with a focus on AI and Human-Computer Interaction.
  • 7+ years of experience in software engineering, specifically in AI/ML and spatial computing.
  • Deep proficiency in Python, C++, and Rust, with experience in WebGL and Three.js.
  • Proven track record of deploying production-grade LLMs and computer vision systems.
  • Strong understanding of 3D graphics pipelines, physics engines, and spatial audio.
  • Experience with cloud infrastructure (AWS/Azure) and containerization (Docker/Kubernetes).
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, experimental environment.

Required Skills

AI Machine Learning Spatial Computing C++ Python WebGL React 3D Modeling Neural Networks AWS Docker

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