Intern - Mechanical Engineer

Human Computer Lab • San Francisco, CA

4h

About The Position

Human Computer Lab is building robots that feel alive and responsive. We are a fast-paced and focused team, with the goal of pushing the frontier of human-robot interaction by making technology more legible, emotionally intuitive, and intentional. In this role, you will be responsible for building the robotics hardware systems that power robot expression, communication, and behavior. You will work closely with ML/software engineers to develop expressive companions, build real-time robotics systems, and integrate robotic hardware with machine learning — turning research and simulation into reliable, production-ready robots.

Requirements

• Pursuing a degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, Mechatronics, or a related field
• Experience designing robotics hardware and electronics
• Experience in prototyping and building with microcontrollers, embedded systems, and PCBs
• Strong CAD skills using tools such as Onshape, SolidWorks, Fusion360, or similar, as well as proficiency in 3D printing
• Experience with human computer interaction as it relates to robots, especially robots in the home
• Comfortable jumping into unfamiliar systems and can create order through chaos
• Care about users and feel ownership over outcomes, even for systems you don't own
• Think holistically about systems and approach complex problems with creative, outside-the-box solutions

Nice To Haves

• Passionate about building and experimenting with hardware
• Move quickly and work well in rapid iteration cycles
• Take ownership over the systems they design and build
• Curious, resourceful, and motivated to solve difficult problems
• Work well in small, collaborative teams
• Consider not just what immediately works, but how consumers will engage with robots

Responsibilities

• Develop robotic hardware that physically expresses perception, intelligence, and behavior
• Build robotic hardware that supports tasks such as computer vision, audio processing, and interaction understanding
• Integrate ML systems with robotic hardware and embedded systems
• Improve robot perception, responsiveness, and expression
• Collaborate with ML/software engineers to build expressive robotics systems

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed