Robotics Engineer - Navigation focus

About the Role:

We are looking for strong candidates who have a background in robotics and machine learning, especially with experience in SLAM, robot navigation (classical or learning-based), and geometric foundation models (e.g. VGGT, MapAnything, etc). You will work across research and engineering, from defining research problems and developing new methods to training, simulation, evaluation, and deployment-oriented experimentation.

Responsibilities

• Develop new methods and systems that advance the state of the art in robotics, 3D perception, navigation, and foundation models.
• Adapt standard machine learning models and frameworks to robotics applications (e.g. computer vision, SLAM, navigation).
• Build efficient robotics pipelines integrating sensor fusion, perception models, geometric reasoning, and model inference.
• Define research goals informed by practical engineering concerns.
• Design high fidelity simulation environments that advance sim-to-real transfer and enable faster iteration cycles for deploying new robots.
• Contribute to experiments, including designing experimental details, writing reusable code, running model evaluations, and organizing results.
• Partner with customers to deploy robots with navigation capabilities in real production environments.
• Contribute to publications and open-sourcing efforts.

Minimum Qualifications

• 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.

Desired Qualifications

• 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.

Work Authorization

This role is open to candidates currently based in and authorized to work in the US.