Job Description
Are you ready to build the intelligent systems of tomorrow? Nexus Dynamics is pioneering the future of 2026 and beyond, and we are seeking a visionary Agentic AI & Spatial Computing Engineer to join our elite San Francisco team.
We are not just building software; we are architecting the operating system for the next era of human-computer interaction. In this role, you will design and deploy autonomous AI agents that seamlessly operate within immersive spatial environments, bridging the gap between digital intelligence and the physical world.
As a key member of our R&D division, you will push the boundaries of what is possible with Generative AI, Large Language Models (LLMs), and spatial computing hardware.
Responsibilities
- Architect and implement scalable, multi-agent AI systems designed for 2026 spatial computing standards.
- Develop and optimize machine learning models for real-time inference in AR/VR and mixed-reality environments.
- Integrate LLMs into 3D spatial interfaces to create intuitive, context-aware user experiences.
- Collaborate with hardware engineers to reduce latency and enhance computational efficiency on edge devices.
- Ensure the ethical and safe deployment of autonomous agents within consumer hardware.
- Conduct rigorous research to stay ahead of emerging trends in AI agents and spatial interfaces.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, AI, Robotics, or a related field (PhD preferred).
- 5+ years of professional experience in Machine Learning, specifically with LLMs and Multi-Agent Systems.
- Proficiency in Python, C++, and CUDA for high-performance computing.
- Experience with spatial computing frameworks (e.g., Unity, Unreal Engine, WebXR) is highly desirable.
- Strong understanding of distributed systems, cloud infrastructure, and data privacy regulations.
- Excellent problem-solving skills and a passion for building future-forward technologies.