Job Description
Architecting the 2026 Vision: AI & Spatial Computing
We are at the forefront of the next technological revolution, building immersive experiences that merge the physical and digital worlds. We are seeking a visionary Lead AI & Spatial Computing Architect to define the technical roadmap for our 2026 ecosystem. In this pivotal role, you will bridge the gap between Generative AI and Spatial Interfaces, creating seamless, intuitive, and intelligent user environments.
Why Join Us?
Be part of a team that is redefining human-computer interaction. We offer competitive compensation, equity packages, and the opportunity to work on bleeding-edge technology that will shape the future.
Your Mission
You will lead a high-performance engineering team in designing scalable architectures for spatial computing applications, integrating Large Language Models (LLMs) into immersive 3D environments, and optimizing real-time rendering pipelines.
Responsibilities
- Define Technical Roadmaps: Create and maintain the architectural vision for AI-driven spatial computing products targeting the 2026 market.
- Lead Engineering: Mentor a team of software engineers and researchers specializing in Computer Vision, NLP, and WebGL.
- System Design: Design low-latency, high-fidelity spatial interfaces that leverage generative AI for dynamic content generation.
- Collaboration: Work closely with UX designers and product managers to translate complex user requirements into robust technical solutions.
- Innovation: Stay ahead of industry trends in XR, AR, and AI to propose and implement cutting-edge features.
Qualifications
- Experience: 8+ years of software engineering experience, with at least 3 years in a lead or architect role within AI or Spatial Computing.
- Technical Skills: Deep expertise in Python, C++, and TypeScript. Proficiency with frameworks like React Three Fiber or Babylon.js is essential.
- AI Knowledge: Strong understanding of LLMs (e.g., GPT-4, Claude), Vector Databases, and RAG architectures.
- 3D Expertise: Experience with 3D graphics APIs (OpenGL/Vulkan) and spatial mapping technologies.
- Education: Bachelor’s or Master’s degree in Computer Science, Robotics, or a related field.