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As a Robotics Simulation Apprentice (Fidelity & Scenario Engineering) at Origin (Formerly 10xConstruction), you will help improve the trustworthiness of our simulation stack by increasing digital twin fidelity and building scalable scenario generation tools. You’ll work on achieving sim-to-real parity for robot behavior including kinematics/dynamics, limits, contacts, and controller behavior, along with sensor equivalence for camera/LiDAR/IMU (timing, noise, sync, failures). You will develop validation harnesses to quantify sim-vs-real gaps and enforce tolerances over time. Additionally, you’ll create deterministic golden test cases with clear pass/fail thresholds and regression coverage, while implementing fault injection (dropouts, latency, noise spikes) to ensure robust testing and reduce false failures through better scenario design.
Responsibilities -
• Improve robot parity: kinematics/dynamics, limits, contacts, and controller behavior (wheel/arm/tool).
• Model sensor equivalence (camera/LiDAR/IMU): timing, noise, sync, and realistic failure modes.
• Build validation harnesses to quantify sim-vs-real gaps and enforce tolerances over time.
• Develop scenario tools: static/dynamic object spawning, obstacle injection, and edge-case conditions (lighting/wet/glass/surfaces).
• Create deterministic golden test cases with pass/fail thresholds and regression coverage.
• Implement fault injection (dropouts/latency/noise spikes) and help reduce false failures via better scenario design.
• Robotics fundamentals: kinematics, dynamics, and controls basics; ability to reason about sim-vs-real mismatches.
• Strong Python and/or C++ engineering and strong debugging skills.
• Hands-on ROS2 experience (interfaces, timing, message flow).
• Experience building/tuning simulation models (Isaac Sim/URDF/USD/physics parameters).
• Comfort with environment/scenario workflows and reproducible content pipelines.
Nice-to-have -
• Real robot bring-up, calibration, or system identification exposure.
• Rendering/material/lighting basics for edge-case realism and robustness testing.
• Safety/reliability testing mindset (fault trees, structured test design, flake triage).
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