Mechanical Engineer - Winter 2026 Internship

Medra•San Francisco, CA
•Onsite

About The Position

This is a paid Winter 2026 Internship position, running from January to April with flexible dates. The internship requires full-time, in-person work at the company's San Francisco office. The company is building a Physical AI Scientist platform that includes Physical AI capable of operating scientific instruments with human-level dexterity and Scientific AI that can analyze results, reason about next steps, and close the loop autonomously. The team consists of passionate, mission-driven engineers from companies like Tesla, Amazon, SpaceX, and Neuralink, who are collaborative, enjoy fast-paced work, and share interests in engineering, robotics, and other topics. They value learning, sharing knowledge, and engaging in intense discussions about design tradeoffs, resolving conflicts quickly and empathetically.

Requirements

  • Strong mechanical intuition and hardware debugging and assembly skills
  • Passion for the gritty details of part design, material selection, and manufacturing techniques
  • Experience with mechanical engineering tools and best practices in production to design components, produce drawings, and build assemblies
  • Experience designing, building, testing, and scaling hardware
  • A hacker’s mindset - getting quickly to a good-enough solution
  • Are hands-on and willing to cross discipline boundaries to solve a problem
  • Know your way around rapid prototyping technology
  • A willingness to wear many hats / a flexible attitude towards responsibilities and scope

Nice To Haves

  • Experience managing PLM/document control systems
  • Mechatronics and circuit design background
  • Knowledge of robotics, motion control, camera, force/torque sensors
  • Experience or familiarity with robot arm manipulators
  • Experience with robotics in a laboratory or manufacturing environment
  • Experience writing code for robotics systems

Responsibilities

  • Intern in our Mechanical Engineering team, focusing on building the tools used across our product to accelerate science.
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