Bachelor's degree in Computer Science, Computer Engineering, or related field; or equivalent practical experience
Research experience in machine learning, robotics, and computer vision
Experience in developing robotics algorithms or machine learning models at scale
Proficient in programming with Python/C++ and familiar with deep learning frameworks like PyTorch or JAX
Must have work authorization in the country of employment during and after hire.
Responsibilities
Design methods, tools, and infrastructure for advanced robotics and foundation models
Define practical research goals informed by engineering needs
Adapt standard machine learning models for robotics applications
Utilize high fidelity simulation platforms for generating synthetic data
Develop data loading and training pipelines for large-scale model training
Conduct experiments including design, coding, evaluation, and organizing results
Contribute to publications and open-source projects.
Benefits
Medical, dental, and health benefits
401(k) retirement plan
Flexible work environment
Opportunities for professional development and collaboration
Involvement in cutting-edge AI and robotics research projects.
Full Job Description
Robotics Engineer: Navigation focus
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).
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.
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.
Base Salary Range
The anticipated base salary for this position is $155,000 - $205,000. Your actual pay will be based on factors such as skills, experience, and location. In addition to base salary, this role is eligible for benefits including medical, 401K and other health benefits.
Work Authorization
This role is open to candidates currently based in and authorized to work in the US.
