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Internship Robotics Intern Jobs in California (NOW HIRING)

DYNA Robotics Inc

Research Internship

Redwood City, CA · On-site

While we have a very limited number of intern opportunities, we welcome applications in particular for research-focused internships at all levels. At Dyna Robotics , we build technology for the real ...

Kodiak

Winter 2027 Intern, Motion Planning

Mountain View, CA · On-site

$18.25 - $23.50/hr

Receive mentorship from top-level robotics engineers. * Advance a state-of-the-art autonomous ... Our internship program is 12-16 weeks; the end date is flexible based on individual needs.

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Neuralink

Robot Optics Intern

Austin, TX · On-site

$35/hr

... robotics, supporting operating room equipment, and manufacturing custom consumables. The core ... Temporary Employees & Interns excluded

Droyd Robotics

Mechanical Engineer Intern

San Francisco, CA · On-site

$22 - $29.75/hr

Our robots operate in production settings, which means mechanical design must be practical ... On-site in San Francisco, CA * Part-time or full-time internship, balanced with school commitments ...

Kodiak

Winter 2027 Intern, Controls

Mountain View, CA

$17.75 - $23.50/hr

We are looking for a highly skilled Controls Intern to join us and solve real-world robotics ... Our internship program is 12-16 weeks; the end date is flexible based on individual needs.

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Infographic showing various Internship Robotics Intern job openings in California as of August 2026, with employment types broken down into 6% Internship, 65% Full Time, 26% Part Time, and 3% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution.

Robotics Perception Engineer Intern

Gritt

South San Francisco, CA • On-site

Full-time

Re-posted 6 days ago

Job description

Gritt is an intelligent system that combines robotics and AI to build the infrastructure that pulls society forward. Gritt deploys via simple attachments to common equipment found on construction sites and autonomously performs labor-intensive tasks, verification, and planning. Gritt systems are already building critical infrastructure in the harshest outdoor environments, starting with large-scale solar. The founding team includes experts in robotics and AI from Carnegie Mellon, Stanford, and MIT. Gritt is backed by Obvious Ventures, Union Square Ventures, First Round Capital, Climactic, Congruent Ventures, and other leading firms.
Role: Robotics Perception Engineer Intern
Location: SF Bay Area (in-person)
About Internships at Gritt
Our internships are scoped projects: you own a defined deliverable end-to-end, work with a dedicated mentor, and demo your work to the whole team. Many interns receive return or full-time offers. This will be an internship for one of two durations: 3 months, or 6 months.
We offer competitive salaries, and the opportunity to work on a mission with tremendous climate impact.
What you'll get to work on
  • 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.
What we look for
  • 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.
Nice to have
  • Experience with sensor drivers, CUDA, 3D geometry, or multi-sensor fusion.

Apply