Job Description
Are you ready to architect the interface between the physical and digital worlds? Horizon 2026 Labs is seeking a visionary Next-Gen AI & Spatial Computing Architect to lead the development of the immersive experiences that will define the technological landscape of the year 2026 and beyond.
We are pioneers in the field of Augmented Reality (AR), Virtual Reality (VR), and Generative AI. Our mission is to create seamless, intelligent environments where digital content augments reality in real-time. As a key member of our elite R&D division, you will bridge the gap between complex neural network models and intuitive spatial user interfaces.
Why Join Us?
- Work on cutting-edge projects that are shaping the future of human-computer interaction.
- Competitive compensation package with equity opportunities.
- Flexible remote-first culture with a premium office in the heart of San Francisco.
If you are passionate about pushing the boundaries of what is possible with AI and spatial computing, we want to meet you.
Responsibilities
- Design and architect scalable, high-performance neural network models optimized for edge computing devices and spatial displays.
- Lead the research and development of next-generation gesture recognition and eye-tracking algorithms.
- Collaborate closely with UX/UI designers to translate technical requirements into intuitive, immersive user experiences.
- Define the long-term technical roadmap for our 2026 product suite, ensuring alignment with market trends.
- Mentor a team of senior engineers and data scientists, fostering a culture of innovation and excellence.
- Conduct rigorous performance testing and optimization to ensure low-latency interaction in real-time environments.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years specializing in AI, Machine Learning, or Computer Vision.
- Proven expertise in Spatial Computing platforms (e.g., Apple Vision Pro, Meta Quest SDK, Unity/Unreal Engine).
- Strong proficiency in programming languages such as C++, Python, and Rust.
- Deep understanding of 3D rendering pipelines, computer graphics, and spatial mapping technologies.
- Experience deploying large-scale AI models in production environments.
- Master’s degree or PhD in Computer Science, Robotics, or a related technical field is highly preferred.