Job Description
We are building the infrastructure for the next decade. Nexus Horizon is seeking a visionary Future Tech Architect to lead the integration of Generative AI and Spatial Computing into our core products. You will define the architectural standards for the year 2026 and beyond, bridging the gap between complex AI models and immersive user experiences.
In this role, you will drive innovation, mentor top-tier engineering talent, and ensure our platforms remain at the forefront of technological advancement. If you are passionate about the future of technology and want to shape the digital landscape, we want to hear from you.
Why Join Nexus Horizon?
- Global Impact: Work on projects that define the future of human-computer interaction.
- Competitive Compensation: Top-tier salary and equity package for industry leaders.
- Flexible Environment: Hybrid work model with a focus on autonomy and innovation.
Responsibilities
- Lead Architectural Design: Design scalable, high-performance systems for next-gen AI applications and spatial interfaces.
- R&D Leadership: Spearhead research into Generative AI, Large Language Models (LLMs), and real-time rendering technologies.
- System Optimization: Oversee the deployment of microservices and edge computing solutions to ensure minimal latency.
- Tech Stack Strategy: Evaluate and integrate emerging technologies (Web3, Quantum-ready algorithms) into the existing roadmap.
- Mentorship: Guide a team of senior engineers and data scientists in best practices for secure and efficient coding.
- Cross-Functional Collaboration: Partner with product managers and designers to translate complex requirements into robust technical solutions.
Qualifications
- Education: Master’s degree in Computer Science, Engineering, or a related technical field.
- Experience: 10+ years of professional experience in software architecture and full-stack development.
- Technical Skills: Deep expertise in Python, Rust, and modern JavaScript frameworks (React, Three.js, WebGL).
- AI Knowledge: Proven experience working with LLMs, NLP, and computer vision pipelines.
- Problem Solving: Demonstrated ability to solve complex, unstructured technical problems in a fast-paced environment.
- Communication: Exceptional verbal and written communication skills for technical documentation and stakeholder presentations.