Robotics Perception Engineer Intern — Real-World Vision

Gritt; South San Francisco (CA); On-site; USD 55,000 - 69,000; Full time

Benefits offered by this job

Competitive salary

In-person internship in SF Bay Area

Mentored internship

Job summary

Gritt is seeking a Robotics Perception Engineer Intern to work on real robot data, pose estimation, and multimodal learning in a fast-moving, mission-driven environment. You will develop perception components and integrate them into the live robot stack, with mentorship and a defined deliverable.

Based in the SF Bay Area, this in-person internship offers hands-on experience, an opportunity to publish for PhD interns, and a pathway to potential full-time opportunities after 3 or 6 months of work.

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.
• Should be comfortable taking ownership of tasks with light supervision.
• Must have excellent problem-solving skills.
• 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.

Skills

Python

PyTorch

Computer Vision

Education

MS/PhD in CS, EE, Robotics

Tools

CUDA

Job description

Gritt is seeking a Robotics Perception Engineer Intern to work on real robot data, pose estimation, and multimodal learning in a fast-moving, mission-driven environment. You will develop perception components and integrate them into the live robot stack, with mentorship and a defined deliverable.

Based in the SF Bay Area, this in-person internship offers hands-on experience, an opportunity to publish for PhD interns, and a pathway to potential full-time opportunities after 3 or 6 months of work.