Hardware Robotics Engineer OR AI Semantic Architect (Individual Specialists or Duo Welcomed)
A secretive project aims to fuse a localized AI with a Unitree G1 robot, forbidding hallucinations with strict hardware preemptions.
A highly secretive development team has posted a call for a specialized engineering duo to execute an ambitious 4-to-6-week sprint. The goal is to create a fully localized, "zero-contradiction" AI architecture and physically integrate it with a bipedal robot chassis, likely a Unitree G1. The project's core innovation is its strict security and safety protocol: the system must be air-gapped, use an offline semantic vector database (ChromaDB), and employ a "Guardrailed Response Protocol" that mathematically forbids the AI from hallucinating or entering argumentative loops. If the AI encounters incomplete data, it must execute a safety halt.
The project requires two distinct roles. The first is an AI/Semantic Systems Architect who will build the localized backend and a consumer-ready mobile/desktop app ecosystem using Python and React Native/Flutter. Their key tasks include deploying ChromaDB and coding "Strict Fallback Logic gates." The second is a Robotics & Hardware Integration Engineer who will use C++ and ROS (Robot Operating System) to build the bridge to the physical robot. This engineer is responsible for translating AI decisions into motor torque, implementing low-latency hardware preemptions (like zeroing torque if a boundary is breached), and using Digital Twin simulation in Nvidia Isaac Sim for pre-deployment calibration. All developers must sign strict NDAs and IP assignments, with the team retaining 100% ownership of the proprietary architecture.
- Seeks AI architect & robotics engineer for a 6-week sprint to fuse a localized AI with a Unitree G1 humanoid robot.
- Core architecture uses an air-gapped ChromaDB and a "Guardrailed Response Protocol" to mathematically forbid AI hallucinations.
- Requires strict IP assignment and security measures, including prohibiting sourcemaps and maintaining an air-gapped deployment.
Why It Matters
This project pushes the boundary of secure, reliable, and physically integrated AI, aiming to solve core issues like hallucinations in real-world robotics.