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Droyd Robotics

Autonomous construction robots with AI-powered automation

Mechanical Engineer Intern

Design EngineeringConfirmed live in the last 24 hours
InternshipSan Francisco, CA, USANo salary listed

About the Job

Requirements

  • Be a current junior or senior (or equivalent) studying mechanical engineering or a related field.
  • Have hands-on experience from clubs, personal projects, or coursework involving physical hardware.
  • Provide examples of projects taken from concept to a physical build.
  • Be comfortable using modern computer-aided design tools; Onshape is preferred but not required.
  • Be willing to balance school and work in a fast-paced, build-heavy environment.

Responsibilities

  • Support mechanical subsystem design from concept through prototype and iteration.
  • Create and modify computer-aided design models for parts and assemblies.
  • Help perform basic load calculations, testing, and analysis.
  • Design parts for rapid prototyping methods such as 3D printing and computer numerical control machining.
  • Build and assemble prototypes using 3D printers, hand tools, and shop equipment.
  • Help integrate mechanical designs with motors, sensors, and basic mechatronic components.
  • Iterate quickly based on test results and engineering feedback.
  • Document designs, tests, and learnings.
  • Work alongside full-time engineers across mechanical, electrical, and software disciplines.
  • Communicate progress, blockers, and findings.

Desired Qualifications

  • Experience with finite element analysis, topology optimization, or generative design.
  • Exposure to machining, tolerancing, or manufacturing workflows.
  • Familiarity with electronics, motors, or control systems.
  • Interest in industrial or visual design.

About the Company

Droyd Robotics

Autonomous construction robots with AI-powered automation

Droyd Robotics builds autonomous precision robotic systems for industrial settings, with a focus on autonomous construction like data center build-out and maintenance. It designs and manufactures hardware in-house, runs the software control stack, and uses low-cost robotic arms to collect real-world data that trains generalist AI models for perception, reasoning, and action. The company differentiates itself through full vertical integration—from hardware to AI data—and by building realistic test environments that mirror real deployments to bridge engineering and field operation. Its goal is to automate manual tasks in construction and maintenance for enterprise clients by turning robotic systems into reliable, data-informed infrastructure for scalable autonomous operations.

Company size
Not listed
Company stage
Not listed
Total funding
Not listed
Headquarters
San Francisco, CA
Founded
Not listed

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