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Senior AI & Spatial Computing Architect (2026 Vision)

Omni Future Systems
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are pioneering the next generation of human-computer interaction. As we gear up for the launch of our flagship Spatial AI platform in 2026, we are seeking a visionary Senior AI & Spatial Computing Architect to design the neural frameworks that will power immersive metaverse environments.

In this role, you will bridge the gap between deep learning research and high-performance spatial rendering. You will define the technical roadmap for integrating Large Language Models (LLMs) with Augmented Reality (AR) hardware, ensuring latency is virtually zero and intelligence is context-aware.

Why join us?
We offer a competitive equity package, remote-first flexibility, and the opportunity to define the standard for the future of work.

Responsibilities

  • Lead the architectural design of proprietary neural engines for spatial computing environments.
  • Develop and optimize generative AI models to interpret and generate real-time 3D assets based on natural language commands.
  • Collaborate with hardware engineers to minimize inference latency on edge devices.
  • Establish best practices for data governance and model versioning in a distributed cloud environment.
  • Mentor a high-performing team of ML engineers and 3D graphics developers.
  • Conduct R&D on emerging technologies such as brain-computer interfaces (BCI) and quantum algorithms.

Qualifications

  • Master’s degree or PhD in Computer Science, Machine Learning, or a related field.
  • Minimum of 5 years of professional experience in AI/ML, with at least 2 years in Spatial Computing or XR development.
  • Deep expertise in Python, C++, and Rust; experience with Unreal Engine or Unity is highly preferred.
  • Proven track record of deploying scalable LLMs and computer vision pipelines.
  • Strong understanding of parallel computing, GPU optimization (CUDA), and distributed systems.
  • Exceptional problem-solving skills and the ability to thrive in a fast-paced, ambiguity-loving environment.

Required Skills

Python Machine Learning Spatial Computing Unreal Engine C++ Neural Networks Computer Vision Cloud Architecture Rust

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