Job Description
Join the Architects of Tomorrow.
Nexus Future Labs is seeking a visionary Future-Ready AI & Spatial Computing Architect to lead our R&D division. In this pivotal role, you will define the technological roadmap for 2026 and beyond, bridging the gap between advanced generative AI and immersive spatial computing environments.
We are not just building software; we are constructing the digital fabric of future reality. If you have a passion for pushing the boundaries of what is possible in AR/VR, quantum-inspired algorithms, and human-machine interfaces, this is your stage.
Why Join Us?
- Impactful Work: Shape the core infrastructure of next-generation spatial operating systems.
- Future-Forward Culture: Work in a dynamic environment focused on long-term vision and ethical AI implementation.
- Competitive Compensation: Attractive salary and equity packages for top-tier talent.
Responsibilities
- Architect and design scalable, high-performance spatial computing environments leveraging AI and machine learning.
- Lead the technical strategy for integrating Large Language Models (LLMs) into spatial interfaces.
- Collaborate with cross-functional teams of designers, engineers, and ethicists to ensure human-centric design principles.
- Define the long-term roadmap for our AI research, specifically targeting breakthroughs by 2026.
- Mentor senior engineers and foster a culture of innovation and technical excellence.
- Ensure system scalability, security, and performance in edge computing environments.
- Research emerging technologies, including neural interfaces and next-gen sensors.
Qualifications
- 10+ years of experience in software architecture, with a focus on AI, Machine Learning, or Spatial Computing.
- Deep understanding of computer graphics, rendering engines (e.g., Unity, Unreal), and spatial mapping technologies.
- Strong proficiency in Python, C++, and Rust, with experience in cloud-native architectures (AWS/Azure).
- Track record of leading large-scale engineering projects from conception to deployment.
- Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
- Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
- Experience with ethical AI frameworks and responsible data governance.