Robotics Engineer - Navigation focus

General Robotics•Redmond, WA

13h•Onsite

About The Position

General Robotics is an AI research and deployment company building general robot intelligence, and we are seeking a Robotics Engineer to join our team. We conduct focused research and engineering to develop and deploy robust and performant robotic systems — we work on a variety of form factors such as aerial, wheeled, humanoid, quadruped, arms and others. We are looking for strong candidates who have a background in robotics and machine learning, especially with experience in SLAM, robot navigation and geometric foundation models (e.g. VGGT, MapAnything, etc).

Requirements

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Research experience in machine learning, robotics, and computer vision.
Experience with developing robotics algorithms or machine learning models at scale.
Programming experience in Python/C++.
Good understanding of deep learning frameworks like Pytorch or Jax.
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Nice To Haves

Master's/PhD in Robotics, Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
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, Maniskill among others.
Experience building efficient robotics pipelines involving sensor fusion and model inference
Experience working with modern computer vision algorithms and sensors (RGB, RGB-D cameras, LIDAR.), 3D (meshes, point clouds, etc.), segmentation, tracking, detection.
Good understanding of systems considerations and the ability to factor these into model choices.

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 (e.g. computer vision, SLAM, 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.