Applications Development Engineer: Robotic Simulations

Applications Development Engineer:
Robotics Simulation

We are 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 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.

• 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.

• 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++, ROS
  2.
• Simulation Mastery:
  Direct experience with NVIDIA Isaac Sim, Isaac Lab, or similar physics engines (e.g., Mu Jo Co , Gazebo).
• Experience:
  
  0–1 year of work experience (academic projects and research labs included).

• 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), Move It, 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 Web Sockets for real-time robotic telemetry.
• Frontend/Design:
  Ability to translate Figma prototypes into functional React/React Native interfaces for robotic control dashboards.
• Dev Ops:
  Familiarity with Git, CI/CD pipelines, and containerization (Docker) for consistent simulation environments.