Job Title: Applications Development Engineer: Robotics SimulationPosition 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 the 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.
