About this role
About the Role:
Paid Winter 2026 Internship (Jan. - Apr., dates flexible). Candidates must work full-time, in-person at our San Francisco office located in the Mission.
What We're Building:
We have been quietly building the foundational layers of our Physical AI Scientist platform: 🤖 Physical AI that can operate scientific instruments with human-level dexterity. 🧪 Scientific AI that can analyze results, reason about next steps, and close the loop autonomously.
This is an incredibly ambitious mission, but we believe that a team of ambitious people with high ownership can accomplish incredible things.
The Team:
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We’re a team of passionate, mission-driven engineers from companies like Tesla, Amazon, SpaceX, and Neuralink. We’re collaborative and love moving fast, both with our product and on team trips skiing or go-karting!
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As a team, we love nerding out about engineering and robotics — plus other topics like race cars or cooking. We like learning new things and then sharing our new knowledge with each other.
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Our team is opinionated and straightforward. We don’t mind intense discussions about design tradeoffs. If we have arguments or miscommunication, we resolve conflicts quickly and empathetically.
In this role, you will:
- Intern in our Mechanical Engineering team, focusing on building the tools used across our product to accelerate science
Let's talk if you have:
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Strong mechanical intuition and hardware debugging and assembly skills
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Passion for the gritty details of part design, material selection, and manufacturing techniques
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Experience with mechanical engineering tools and best practices in production to design components, produce drawings, and build assemblies
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Experience designing, building, testing, and scaling hardware
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A hacker’s mindset - getting quickly to a good-enough solution
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Are hands-on and willing to cross discipline boundaries to solve a problem
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Know your way around rapid prototyping technology
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A willingness to wear many hats / a flexible attitude towards responsibilities and scope
Nice to have:
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Experience managing PLM/document control systems
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Mechatronics and circuit design background
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Knowledge of robotics, motion control, camera, force/torque sensors
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Experience or familiarity with robot arm manipulators
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Experience with robotics in a laboratory or manufacturing environment
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Experience writing code for robotics systems
This position is 100% in-person, you must be able to come on-site to our San Francisco office.