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Senior AI Architect - Spatial Computing (2026 Vision)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are not just predicting the future; we are building it. At Nexus Horizon Labs, we are engineering the interface of the year 2026. Our mission is to merge human consciousness with spatial computing through advanced Generative AI and neural rendering. We are looking for a visionary Senior AI Architect to lead our core research team in San Francisco.

In this role, you won't just write code; you will architect the neural foundations of the next generation of mixed reality. If you are obsessed with latency, scalability, and the ethical implications of AGI in spatial environments, we want to meet you.

Why Join Us?

  • Impact First: Your work will directly influence the user experience of millions in the 2026 ecosystem.
  • State-of-the-Art: Access to cutting-edge hardware and proprietary datasets.
  • Competitive Compensation: Top-tier salary plus performance equity.

Responsibilities

  • Architect and deploy scalable neural rendering pipelines optimized for spatial computing hardware (e.g., AR/VR headsets).
  • Design and fine-tune Large Language Models (LLMs) specifically for spatial context awareness and natural language interaction.
  • Collaborate with cross-functional teams (UX, Hardware, Engineering) to bridge the gap between AI models and immersive interfaces.
  • Ensure real-time performance and low-latency processing for AI inference in edge computing environments.
  • Mentor junior engineers and set technical standards for the AI research department.
  • Conduct rigorous testing on ethical AI bias and safety protocols for consumer-facing applications.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
  • Minimum of 5+ years of professional experience in Deep Learning, Machine Learning, or Neural Networks.
  • Proficiency in Python, PyTorch, and TensorFlow with a proven track record of publishing research or shipping production models.
  • Strong experience with C++ and CUDA for high-performance computing and edge optimization.
  • Experience with spatial computing frameworks (Unity, Unreal Engine, or WebXR) is a significant plus.
  • Excellent communication skills and the ability to translate complex technical concepts for diverse stakeholders.
  • Passion for the future of technology and a demonstrated interest in the evolution of AI in 2026.

Required Skills

Python PyTorch TensorFlow C++ CUDA Neural Networks Machine Learning Spatial Computing AR/VR Deep Learning Unity WebGL

Ready to Take This Challenge?

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