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Lead AI & Spatial Computing Architect (2026 Vision)

Nexus Future Systems
San Francisco
Estimated Salary
USD 190.000 – USD 260.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027



Job Description

We are not just building the future; we are architecting the very fabric of tomorrow. Nexus Future Systems is seeking a visionary Lead AI & Spatial Computing Architect to define our 2026 roadmap. In this role, you will bridge the gap between advanced generative AI and immersive spatial computing, creating seamless digital realities that redefine human interaction. If you are a thought leader who thrives on ambiguity and possesses a passion for next-generation technology, we want to hear from you.

Why Join Nexus Future Systems?

  • Shape the 2026 Landscape: Be at the forefront of the convergence between AI, AR/VR, and quantum computing.
  • Elite Engineering Culture: Collaborate with world-class talent in a high-performance, innovative environment.
  • Equity & Impact: Competitive compensation package with significant equity opportunities in a unicorn-stage company.

Core Responsibilities:

Responsibilities

  • Architect and deploy scalable, edge-computing generative AI models tailored for spatial environments.
  • Design and implement neural interfaces that translate natural language into immersive 3D experiences.
  • Lead the technical strategy for integrating Web3 protocols with next-gen AI agents.
  • Ensure ethical AI frameworks and data privacy standards are integrated into the core infrastructure.
  • Collaborate with cross-functional teams to translate futuristic concepts into executable product roadmaps.
  • Conduct rigorous research into emerging technologies, including quantum algorithms and holographic rendering.

Qualifications

  • Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, PyTorch, and WebGL/Three.js for spatial rendering.
  • Proven track record of leading high-impact engineering teams and shipping complex systems.
  • Experience with Large Language Models (LLMs), diffusion models, and computer vision.
  • Strong understanding of cloud infrastructure (AWS/Azure) and edge computing deployment.

Required Skills

Python PyTorch TensorFlow WebGL Spatial Computing Generative AI Computer Vision Machine Learning Cloud Architecture AR/VR

Ready to Take This Challenge?

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