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Future Tech Lead: Generative AI & Spatial Computing (2026 Vision)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

We are at the forefront of the digital revolution. As we look toward the technological landscape of 2026, we are seeking a visionary Future Tech Lead to architect the next generation of immersive experiences. You will be responsible for bridging the gap between Generative AI and Spatial Computing, creating seamless, predictive environments that redefine user interaction.

Our mission is to build the infrastructure that powers the metaverse of tomorrow, today. You will work with a world-class team of researchers, engineers, and designers to push the boundaries of what is possible in AR/VR and LLM integration.

Responsibilities

  • Architect Next-Gen Interfaces: Design and implement scalable systems for spatial computing environments, ensuring high-fidelity performance and intuitive user flows.
  • Generative AI Integration: Leverage Large Language Models and diffusion models to create dynamic content generation systems that adapt in real-time to user context.
  • R&D Leadership: Lead research initiatives focused on "embodied AI" and predictive user interfaces expected to dominate the 2026 tech ecosystem.
  • Performance Optimization: Optimize rendering pipelines and AI model inference times to ensure 60+ FPS performance on next-gen hardware.
  • Cross-Functional Collaboration: Partner with product managers and UX researchers to translate abstract concepts into tangible product features.

Qualifications

  • Experience: 5+ years of experience in software engineering, with at least 2 years focused on AI/ML or Spatial Computing.
  • Technical Stack: Proficiency in Python, C++, and WebGL/React Three Fiber. Experience with PyTorch or TensorFlow is required.
  • 2026 Vision: Deep understanding of the projected trends for 2026, including multimodal AI, haptic feedback integration, and edge computing.
  • Problem Solving: Strong ability to solve complex, unstructured problems in high-velocity environments.
  • Education: BS in Computer Science, Mathematics, or a related technical field (Master's preferred).

Required Skills

Python C++ WebGL React Three Fiber PyTorch Machine Learning Spatial Computing AR/VR Generative AI Cloud Architecture

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