Applications Development Engineer: Robotic Simulations

Summary: PSYONIC is seeking an Applications Development Engineer: Robotics Simulation to support the integration of advanced bionic end-effectors with leading robotic arm platforms. This role focuses on developing high-fidelity simulations for the Ability Hand and creating the digital twin infrastructure for next-generation clinical and robotic devices. Responsibilities: - Develop and refine software interfaces for robotic hand-to-arm integrations, ensuring seamless kinematic and communication synchronization - Build and optimize high-fidelity simulations of the Ability Hand within NVIDIA Isaac Lab/Sim, focusing on contact dynamics, grasping, and manipulation - Support the integration of GR00T (Generalist Robot 00 Technology) foundations to enable embodied AI capabilities for prosthetic and robotic systems - Translate physical hardware specifications into URDF/MJCF & SDF formats for accurate simulation performance - Assist in developing user interfaces (React/React Native) that allow clinicians or engineers to monitor and control robotic telemetry - 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 - Document simulation parameters, API schemas, and system architectures to ensure reproducibility in research and production Required Qualifications: - Currently pursuing or recently completed a Master's degree in Robotics, Mechanical Engineering, Computer Science, or a related field - Strong proficiency in Python and C++, & ROS2 - Direct experience with NVIDIA Isaac Sim, Isaac Lab, or similar physics engines (e.g., MuJoCo, Gazebo) - 0–1 year of work experience (academic projects and research labs included) Preferred Qualifications: - Familiarity with the NVIDIA GR00T or experience with Reinforcement Learning (RL) for robotic manipulation - Experience with ROS2 (Robot Operating System), MoveIt, or Inverse Kinematics (IK) solvers for multi-DOF systems - Understanding of the Software Development Life Cycle (SDLC) for medical devices (ISO 62304/82304) and human factors testing (ISO 62366) is nice to have - Exposure to BLE (Bluetooth 5.x), TCP/IP, or WebSockets for real-time robotic telemetry - Ability to translate Figma prototypes into functional React/React Native interfaces for robotic control dashboards - Familiarity with Git, CI/CD pipelines, and containerization (Docker) for consistent simulation environments Required Skills: Python, C++, ROS2, NVIDIA Isaac Sim, NVIDIA Isaac Lab, MuJoCo, Gazebo, NVIDIA GR00T, Reinforcement Learning, MoveIt, Inverse Kinematics, ISO 13485, ISO 14971, URDF, MJCF, SDF, React, React Native, BLE, TCP/IP, WebSockets, Git, CI/CD, Docker