Robotics Perception Intern - Build Real-World Robot Vision

Gritt Robotics; Sacramento (CA); On-site; USD 33,000 - 60,000; Full time

Job summary

Gritt is seeking a Robotics Perception Engineer Intern to join our team in the SF Bay Area. You will develop perception components on real robot data, build datasets, run experiments, and integrate modules into the live robot stack with demos.

You will work on pose estimation, multi-sensor fusion, and multimodal learning, gaining hands-on experience with state-of-the-art CV and robotics tools. This internship offers mentorship and potential full-time opportunities.

Qualifications

• . Pursuing MS/PhD in CS, EE, Robotics, or related field.
• . Strong Python skills; experience with PyTorch and computer vision fundamentals.
• . Evidence of applied work: projects, competitions, publications, or industry robotics experience.
• . Must be legally authorized to do an internship in the United States for either 3 months or 6 months.

Responsibilities

• Develop and evaluate perception components on real robot data.
• Build datasets and evaluation harnesses; run experiments and report results.
• Integrate your module into the live robot stack and demo it.
• Get hands-on with pose estimation, VLMs, VLAs, 3D scene reconstruction, object detection, and multimodal learning.
• Test your work on real robots at the office.
• Opportunity to publish (for PhD interns).
• Attend Tier-1 industry conferences.
• Example projects could be anything from building a robust 6DOF pose estimation stack that can work in harsh degraded outdoor conditions, to shipping a 3D object detection module for our manipulation stack.

Skills

Python

PyTorch

Computer Vision

Education

MS/PhD in CS, EE or Robotics

Tools

CUDA

Job description

Gritt is seeking a Robotics Perception Engineer Intern to join our team in the SF Bay Area. You will develop perception components on real robot data, build datasets, run experiments, and integrate modules into the live robot stack with demos.

You will work on pose estimation, multi-sensor fusion, and multimodal learning, gaining hands-on experience with state-of-the-art CV and robotics tools. This internship offers mentorship and potential full-time opportunities.