Embodied AI Model Security Engineer

We are seeking a highly skilled **Embodied AI Model Security Engineer** to join our AI research and robotics engineering team. This hybrid role blends **AI/ML expertise** with **robotics simulation and control**, focusing on the development, fine-tuning, and secure deployment of embodied AI systems. You will design training pipelines, work with robot simulation environments, implement teleoperation data collection frameworks, and research model security to safeguard our AI-driven robotics applications.

* Design and implement **end-to-end fine-tuning pipelines** for large-scale language, vision, and vision-language-action (VLA) models.

* Develop and manage **training datasets**, including synthetic data generation from simulators and real-world data.

* Profile, benchmark, and optimize inference **latency, memory footprint, and throughput** for both cloud and edge devices.

* Research and analyze AI model vulnerabilities and develop defense methods.

* Build and operate robotics simulation environments using **IsaacSim, Gazebo, MuJoCo**, or similar tools, and operate physical robots via robotics operating systems such as ROS/ROS2.

* Integrate AI models into simulation pipelines for testing, evaluation, and synthetic data generation.

* Validate control policies in simulation before deployment to physical hardware.

* Implement robot control via **CANBus, serial, or similar communication protocols**.

* Develop real-time interfaces between AI models and robot hardware controllers.

* Implement **leader–follower architectures** to teleoperate robots for **training data collection**.

* Capture and preprocess trajectories for use in imitation learning or reinforcement learning pipelines.

* Independently research AI model vulnerabilities, focusing on embodied AI and robotics applications.

* Analyze **adversarial attacks, model extraction, and unsafe behaviors**, and design mitigation strategies.

* Document security findings and propose architectural improvements for safe model deployment.

* Master's or PhD in **Computer Science, Machine Learning, Robotics**, or a related field.

* **5+ years of AI/ML engineering experience**, with proven expertise in fine-tuning and deploying large-scale transformer or VLA models.

* Proficiency in **Python** and major AI frameworks such as **PyTorch, TensorFlow, or JAX**.

* Experience working in **Linux/Unix** environments.

* Hands-on experience with **robotics simulators** (IsaacSim, Gazebo, MuJoCo, etc.).

* Familiarity with **CANBus, serial communication**, or other robotics control interfaces.

* Experience with **adversarial machine learning** or security evaluation of AI models.

* Previous work with **LeRobot** or similar open-source robotics frameworks, including controlling robots via VLA models.

* Experience integrating AI models with **Kubernetes, Docker, or NVIDIA TensorRT** for deployment.

* Familiarity with **differential privacy, secure enclaves, and threat modeling** for AI systems.

* Track record of **technical publications or patents** in AI, robotics, or security.