Robotics Engineer

About the Company

General Robotics is an AI research and deployment company building general robot intelligence. We conduct focused research and engineering to develop and deploy robust and performant robotic systems across various form factors including aerial, wheeled, humanoid, and quadruped platforms.

Responsibilities

• Design methods, tools, and infrastructure to push forward the state of the art in robotics and foundation models
• Define research goals informed by practical engineering concerns
• Adapt standard machine learning models and frameworks to robotics applications such as computer vision, SLAM, and navigation
• Work with high fidelity simulation platforms for synthetic data generation
• Design data loading and training pipelines for large scale foundation model training
• Contribute to experiments, including designing experimental details, writing reusable code, running model evaluations, and organizing results
• Contribute to publications and open-sourcing efforts

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• Research experience in machine learning, robotics, and computer vision
• Experience developing robotics algorithms or machine learning models at scale
• Programming experience in Python or C++
• Good understanding of deep learning frameworks like PyTorch or Jax
• Must obtain and maintain work authorization in the US

Preferred Qualifications

• Master's or PhD in Robotics, Computer Science, or a relevant technical field
• Direct experience in robotics, computer vision, or machine learning research
• First author publications at peer-reviewed AI and robotics conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICRA, IROS, CORL)
• Experience with high fidelity simulation platforms such as AirSim, CARLA, Isaac Sim, Mujoco, or Maniskill
• Experience building efficient robotics pipelines involving sensor fusion and model inference
• Experience with modern computer vision algorithms and sensors (RGB, RGB-D, LIDAR)
• Experience with 3D data including meshes and point clouds, segmentation, tracking, and detection