Job Description
Architect the Future of 2026.
At Nexus Horizons, we are defining the technological landscape for the year 2026 and beyond. We specialize in merging Generative AI with Spatial Computing to create immersive, predictive, and hyper-personalized digital ecosystems. We are looking for a visionary Future-Ready AI & Spatial Systems Architect to lead our R&D division and build the infrastructure that powers the next generation of human-computer interaction.
Why This Role?
- Be at the forefront of the 2026 niche, influencing the trajectory of spatial computing and AI integration.
- Work with a world-class team of engineers, designers, and futurists.
- Competitive compensation package and equity opportunities.
Your Mission:
You will design and implement scalable, robust architectures that bridge the gap between complex neural networks and intuitive spatial interfaces. You will define the technical roadmap that ensures our products remain at the bleeding edge of innovation.
Responsibilities
- Design and implement scalable AI models specifically optimized for Spatial Computing environments (AR/VR/MR).
- Lead the technical vision for the 2026 roadmap, integrating predictive analytics with real-time user interaction.
- Architect microservices that leverage edge computing and cloud infrastructure for low-latency experiences.
- Collaborate with UX/UI designers to translate complex algorithms into seamless, immersive user journeys.
- Conduct code reviews and mentor senior engineers to maintain high technical standards.
- Stay ahead of emerging tech trends (e.g., Quantum-ready architecture, Neural Interfaces) to future-proof our stack.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- Minimum of 5+ years of experience in software architecture, with a specific focus on Machine Learning and Spatial Computing.
- Proficiency in Python, C++, and modern JavaScript frameworks (React/Vue).
- Strong experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker/Kubernetes).
- Deep understanding of neural networks, Natural Language Processing (NLP), and Computer Vision.
- Proven ability to think strategically about the future of technology and solve unstructured problems.