Job Description
We are Nebula Dynamics, a next-generation technology firm pioneering the interface between human cognition and machine intelligence. As we accelerate toward our 2026 global rollout, we are seeking a visionary Senior AI Architect to build the foundational neural engines powering our immersive spatial computing platform.
In this role, you won't just maintain existing systems; you will architect the future. You will lead a high-performance team in developing Generative AI models optimized for real-time spatial environments and Neural Interfaces. If you are obsessed with pushing the boundaries of what AI can achieve in the physical world and want to be a key architect of the 2026 vision, we want to talk to you.
Why Join Us?
- Impact at Scale: Your code will directly influence the core experience of millions of users in the 2026 ecosystem.
- Future-First Tech Stack: Work with cutting-edge LLMs, Quantum-ready algorithms, and WebGPU.
- Unlimited PTO & Equity: We believe in rewarding those who build the future.
Responsibilities
- Lead the architectural design and implementation of Large Language Models (LLMs) specifically tuned for spatial context and gesture recognition.
- Optimize deep learning pipelines for edge devices to ensure low-latency performance in mixed-reality environments.
- Collaborate with cross-functional teams (UX, Hardware, Product) to define the 2026 product roadmap and technical milestones.
- Implement robust MLOps pipelines for model training, validation, and deployment at scale.
- Conduct research and proof-of-concepts for emerging AI paradigms, including Neural Radiance Fields (NeRFs) and embodied AI.
- Establish best practices for AI safety, bias mitigation, and ethical deployment of autonomous systems.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field.
- 8+ years of experience in software engineering, with at least 4 years dedicated to Machine Learning and AI research.
- Deep expertise in PyTorch, TensorFlow, or JAX and experience deploying models via REST APIs or gRPC.
- Strong background in C++ for high-performance computing and integrating AI models into native applications.
- Experience with WebGPU and WebGL for browser-based AI rendering.
- Track record of publishing research or delivering complex AI systems in production environments.