Job Description
Are you ready to architect the digital landscape of 2026 and beyond? Nexus Horizon Solutions is at the forefront of the Spatial Computing revolution, developing immersive environments that redefine human interaction with technology. We are seeking a visionary Senior AI & Metaverse Architect to lead our engineering team in building the next generation of neural interfaces and 3D web experiences.
As a key member of our elite R&D division, you will bridge the gap between advanced Machine Learning and real-time rendering. We are not just building websites; we are constructing the fabric of the future metaverse. If you thrive in a fast-paced, innovative environment and possess the technical prowess to tackle complex problems, we want to hear from you.
Responsibilities
- Architect Future-Proof Systems: Design and implement scalable, high-performance AI-driven infrastructure for spatial computing platforms and 3D web environments.
- Neural Rendering: Lead the development of real-time generative AI models that enhance visual fidelity in immersive environments.
- Spatial Computing Integration: Integrate native APIs and SDKs (e.g., WebXR, Apple Vision Pro, Meta Quest) to deliver seamless cross-device experiences.
- Technical Leadership: Mentor junior engineers and architects, conducting code reviews, and establishing best practices for the 2026 tech stack.
- Product Strategy: Collaborate with product managers and designers to define the technical roadmap for upcoming immersive product releases.
Qualifications
- Experience: 7+ years of professional experience in Software Engineering, with at least 3 years specifically in AI, WebGL, or 3D graphics.
- Core Technologies: Proficiency in Python, C++, and modern JavaScript frameworks (React/Three.js/React-Three-Fiber).
- AI Expertise: Deep understanding of Machine Learning models for computer vision and natural language processing within creative contexts.
- Leadership: Proven track record of leading cross-functional teams and delivering complex projects on time.
- Education: Bachelor’s degree in Computer Science, Mathematics, or a related field (Master’s preferred).