Hardware Robotics Engineer OR AI Semantic Architect (Individual Specialists or Duo Welcomed)

Jobs
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We are executing a highly focused 4-to-6-week development sprint to build a fully localized, zero-contradiction AI architecture (Semantic Backend) and bridge it directly into a physical bipedal robotics chassis (Hardware Bridge) utilizing the Unitree G1 or a comparable android/humanoid robot.

​We require two distinct technical focuses for this project. You may apply as an individual specialist for Role 1 OR Role 2, or you may apply as a pre-existing engineering duo. If hired as a solo specialist, you must be highly comfortable collaborating and sharing API documentation with an external counterpart to ensure seamless cyber-physical integration.

​This system completely bypasses the limitations of standard cloud AI by utilizing an air-gapped semantic vector database, strict hardware preemptions, and a unique Guardrailed Response Protocol. The AI is mathematically forbidden from hallucinating or argumentative looping; if it encounters an incomplete data variable, it must execute a strict safety halt.

​Role 1: AI / Semantic Systems Architect & App Ecosystem Developer (Backend)

  • ​Tech Stack & Skills: Python, React Native / Flutter (for cross-platform mobile app development), iOS/Android ecosystem deployment, API Architecture, ChromaDB (Semantic Vector Databases), Localized LLM deployment (SLMs).

  • ​Core Objectives:

    • ​Design and deploy the complete digital app ecosystem (the presentation layer) that securely interfaces with the localized backend, ensuring a seamless, consumer-ready mobile/desktop experience.

    • ​Build the localized ChromaDB environment and an Asynchronous Data Buffer loop for offline fact-verification.

    • ​Code the Strict Fallback Logic gates and Dynamic Prompt Formatting to ensure respectful user interaction without compromising the core knowledge environment.

​Role 2: Robotics & Hardware Integration Engineer (Hardware Bridge)

  • ​Tech Stack: C++, ROS (Robot Operating System), FPGA (silicon logic), Nvidia Isaac Sim (or Gazebo).

  • ​Core Objectives:

    • ​Build the secure hardware bridge to the physical Unitree G1 (or comparable android/humanoid robot) chassis.

    • ​Translate the AI’s semantic decisions into physical motor torque and Low-Latency Hardware Preemptions (e.g., zeroing torque if a spatial boundary is breached).

    • ​Utilize Digital Twin simulation to rigorously calibrate balance, latency, and hardware preemptions prior to physical deployment.

    • ​Program Dynamic User Role Authorization (dynamic organic enrollment for recognizing user hierarchy and filtering crowd noise).

​Project Milestones & Deliverables (6-Week Timeline):

  1. ​Core Logic: Localized ChromaDB environment and reality-grounding gates functioning offline.

  2. ​Digital Ecosystem: Fully operational mobile/desktop app ecosystem (UI/UX and backend integration).

  3. ​Physical Integration: Code deployed and simulated via Digital Twin, ready for physical hardware.

  4. ​Security & Legal: Complete handover of all source code under a strict IP Assignment Agreement.

​Mandatory Security Requirements:

  • ​All developers must sign an NDA and a full IP Assignment Agreement (Work-for-Hire). We retain 100% ownership of the proprietary architecture.

  • ​Deployment Security Clause: All production compilation must strictly prohibit sourcemaps (sourcemap: “none”). The digital app and hardware bridges must remain completely air-gapped from the backend logic.