Job Description
Welcome to Nexus Future Labs, where we are architecting the digital reality of tomorrow. We are pioneering the Web 2026 ecosystem—moving beyond flat interfaces to immersive, spatial, and AI-driven web experiences.
We are seeking a visionary Web 2026 Architect to lead our engineering efforts. In this role, you won't just build websites; you will construct the foundation for the next generation of the internet. You will work at the intersection of Generative AI, Spatial Computing, and High-Performance Web Architecture.
Why Join Us?
- Future-Proof Your Career: Work on bleeding-edge technology that defines the web of tomorrow.
- High-Performance Culture: Collaborate with top-tier engineers and designers in a state-of-the-art San Francisco facility.
- Competitive Compensation: A generous salary package with equity options.
Responsibilities
- Architect Spatial Web Solutions: Design and implement scalable, high-performance architectures for immersive web experiences (WebXR, 3D rendering).
- Integrate Generative AI: Seamlessly incorporate Large Language Models (LLMs) and generative media into front-end workflows to create adaptive user interfaces.
- Performance Optimization: Push the boundaries of browser performance, ensuring sub-16ms frame rates for complex 3D applications.
- API Design: Develop robust backend services using Rust or Go to support real-time, high-throughput data streams.
- Collaboration: Work closely with UX researchers to translate complex spatial concepts into intuitive user journeys.
- Security & Compliance: Enforce the highest security standards for Web3 and AI-driven applications.
Qualifications
- Experience: 5+ years of professional experience in full-stack software development.
- Core Tech: Proficiency in TypeScript, React, and modern JavaScript frameworks. Experience with WebGL or Three.js is highly preferred.
- Backend: Strong knowledge of Rust or Go, with experience building asynchronous, event-driven systems.
- AI Integration: Experience working with AI APIs (OpenAI, Anthropic) and implementing prompt engineering workflows in production.
- Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
- Soft Skills: Ability to think abstractly about user experiences and translate them into technical specifications.