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Senior AI & Spatial Computing Architect (2026 Vision)

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

Job Description

We are pioneering the interface between human cognition and digital reality. As we approach the 2026 paradigm shift in spatial computing, Nebula Horizon Systems is seeking a visionary Senior AI Architect to architect the neural engines that power our immersive environments.

In this role, you won't just maintain legacy systems; you will define the future of interaction. You will bridge the gap between deep learning theory and real-time spatial rendering, ensuring our platforms are not just functional, but intuitive and boundless.

Join a team of elite engineers pushing the boundaries of what is possible in a mixed-reality world.

Responsibilities

  • Architect and deploy scalable deep learning models optimized specifically for spatial computing environments and low-latency rendering.
  • Lead the research and implementation of next-gen generative AI for dynamic 3D content creation and procedural generation.
  • Collaborate closely with hardware engineering teams to optimize neural network inference on edge devices.
  • Establish best practices and robust data pipelines for handling high-dimensional spatial datasets.
  • Mentor a team of machine learning engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Define the technical roadmap for AI integration within our flagship 2026 product suite.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 5+ years of professional experience in designing and deploying large-scale, production-ready machine learning systems.
  • Strong proficiency in Python, PyTorch, or TensorFlow with a specific focus on performance optimization and GPU acceleration.
  • Deep understanding of 3D mathematics, computer graphics, and spatial data structures.
  • Proven track record of leading cross-functional teams in fast-paced, high-growth startup environments.
  • Experience with neural radiance fields (NeRFs) or similar implicit neural representations is highly desirable.

Required Skills

Python PyTorch TensorFlow Spatial Computing VR/AR Machine Learning Deep Learning Data Engineering C++ GPU Acceleration Neural Networks

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