Applications Development Engineer: Robotic Simulations

Job Title: Applications Development Engineer: Robotics Simulation Position Overview We are seeking a Applications Development Engineer: Robotics Simulation to support the integration of advanced bionic end‑effectors with leading robotic arm platforms. This role focuses on bridging the gap between hardware and software by developing high‑fidelity simulations for the Ability Hand using the NVIDIA Isaac Lab/Sim environments and the GR00T AI stack. You will play a critical role in developing the "digital twin" infrastructure that powers our next generation of clinical and robotic devices. Key Responsibilities Robotic Integration: Develop and refine software interfaces for robotic hand‑to‑arm integrations, ensuring seamless kinematic and communication synchronization. Physics Simulation: Build and optimize high‑fidelity simulations of the Ability Hand within NVIDIA Isaac Lab/Sim, focusing on contact dynamics, grasping, and manipulation. AI Stack Implementation: Support the integration of GR00T (Generalist Robot 00 Technology) foundations to enable embodied AI capabilities for prosthetic and robotic systems. Digital Twin Development: Translate physical hardware specifications into URDF/MJCF & SDF formats for accurate simulation performance. Full‑Stack Support: Assist in developing user interfaces (React/React Native) that allow clinicians or engineers to monitor and control robotic telemetry. Verification & Validation: Collaborate with cross‑functional teams to complete product requirements and DHF deliverables (Design History File) in accordance with ISO 13485 and ISO 14971 Risk Management procedures. Technical Documentation: Document simulation parameters, API schemas, and system architectures to ensure reproducibility in research and production. Required Qualifications Education: Currently pursuing or recently completed a Master’s degree in Robotics, Mechanical Engineering, Computer Science, or a related field. Core Skills: Strong proficiency in Python and C++, ROS2. Simulation Mastery: Direct experience with NVIDIA Isaac Sim, Isaac Lab, or similar physics engines (e.g., MuJoCo, Gazebo). Experience: 0–1 year of work experience (academic projects and research labs included). Preferred Qualifications Embodied AI: Familiarity with NVIDIA GR00T or experience with Reinforcement Learning (RL) for robotic manipulation. Hand‑to‑Arm Kinematics: Experience with ROS2 (Robot Operating System), MoveIt, or Inverse Kinematics (IK) solvers for multi‑DOF systems. Medical Device Standards: Understanding of the Software Development Life Cycle (SDLC) for medical devices (ISO 62304/82304) and human factors testing (ISO 62366) is nice to have. Embedded Protocols: Exposure to BLE (Bluetooth 5.x), TCP/IP, or WebSockets for real‑time robotic telemetry. Frontend/Design: Ability to translate Figma prototypes into functional React/React Native interfaces for robotic control dashboards. DevOps: Familiarity with Git, CI/CD pipelines, and containerization (Docker) for consistent simulation environments. #J-18808-Ljbffr Alumni Ventures