Job Description
The Future is Here. Are you ready to architect the next generation of human-computer interaction? Nebula Dynamics is seeking a visionary Lead AI & Spatial Computing Engineer to spearhead our flagship project, The 2026 Vision. We are building the immersive operating system of tomorrow, blending advanced machine learning with spatial computing to redefine how humans perceive and interact with digital environments.
In this role, you won't just write code; you will shape the reality of the metaverse and the future of productivity. If you thrive in a high-velocity environment and possess an obsession with perfection, we want to hear from you.
Responsibilities
- Architect Next-Gen AI Models: Design and deploy cutting-edge neural networks for real-time spatial mapping and object recognition within virtual environments.
- Spatial Computing Integration: Lead the development of cross-platform frameworks compatible with AR/VR headsets and spatial displays, ensuring seamless 60fps performance.
- Algorithm Optimization: Push the boundaries of computer vision and physics simulations to create hyper-realistic digital twins and environments.
- Technical Leadership: Mentor a team of elite engineers and data scientists, fostering a culture of innovation and technical excellence.
- Product Roadmap: Collaborate with product leads to translate futuristic concepts into executable technical specifications and milestones.
- Performance Tuning: Identify and resolve bottlenecks in rendering pipelines and AI inference loops to ensure buttery smooth user experiences.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Robotics, or a related technical field (PhD preferred).
- Deep Expertise in Python & C++: Proven track record of delivering high-performance, low-latency applications.
- Spatial Computing Experience: Demonstrated experience with Unity, Unreal Engine, or proprietary spatial frameworks (e.g., VisionOS, WebXR).
- Machine Learning Mastery: Strong background in PyTorch or TensorFlow, specifically applied to computer vision and sensor fusion.
- 3D Graphics Knowledge: Solid understanding of OpenGL, Vulkan, or DirectX, along with shader programming.
- Problem Solver: Ability to debug complex systems and innovate solutions for uncharted technical challenges.