Job Description
Shape the Digital Reality of 2026. At Apex Horizon Labs, we are not just predicting the future; we are engineering it. We are seeking a visionary Next-Gen AI & Spatial Systems Architect to lead our R&D division. In this pivotal role, you will design the infrastructure that bridges physical and digital realities, integrating advanced Generative AI with immersive Spatial Computing.
We are looking for a pioneer who thrives on ambiguity and possesses the technical prowess to build scalable systems that will define the tech landscape in 2026 and beyond.
Why Join Us?
• Work on the bleeding edge of AI and Spatial Computing.
• Competitive equity and performance bonuses.
• Remote-first culture with state-of-the-art equipment.
Responsibilities
- Architect Next-Gen Ecosystems: Design and implement scalable distributed systems for AI agents and spatial environments using Python, Rust, and WebGPU.
- Generative AI Integration: Lead the integration of proprietary LLMs into spatial interfaces, optimizing for low-latency, high-fidelity interactions.
- Spatial Computing Development: Develop middleware that allows seamless data visualization in AR/VR environments.
- R&D Leadership: Conduct proof-of-concept research on emerging technologies (Quantum-inspired algorithms, Neuro-synaptic interfaces) for 2026 roadmaps.
- System Optimization: Ensure high availability and performance for real-time rendering and AI inference pipelines.
- Collaboration: Partner with UX designers and frontend engineers to translate complex AI models into intuitive user experiences.
Qualifications
- Expert Technical Background: 8+ years of experience in software engineering, with a focus on AI, Computer Vision, or Spatial Computing.
- Core Proficiencies: Deep expertise in Python, C++, and WebGL/Three.js.
- AI/ML Mastery: Strong understanding of transformer models, reinforcement learning, and edge computing architectures.
- Spatial Tech: Experience with Unity, Unreal Engine, or Apple Vision Pro SDKs is highly preferred.
- Problem Solving: Ability to solve complex architectural challenges in real-time environments.
- Communication: Excellent verbal and written skills for technical storytelling and stakeholder management.
- Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.