Build and iterate on robot prototypes, support controls and calibration, and troubleshoot mechanical-controls integration while exploring how models shape LeLampβs character and behavior.
Intern - Mechanical Engineer
π Description
- Develop hardware that lets robots physically express perception, intelligence, and behavior.
- Integrate machine-learning systems with robotic hardware and embedded systems.
- Improve robot perception, responsiveness, and expression.
- Collaborate with ML and software engineers to build expressive robotics systems.
π οΈ Requirements
- Pursuing a degree in electrical engineering, computer engineering, mechanical engineering, mechatronics, or a related field.
- Experience designing robotics hardware and electronics.
- Experience prototyping with microcontrollers, embedded systems, and PCBs.
- Strong CAD skills with tools such as Onshape, SolidWorks, or Fusion 360, and proficiency in 3D printing.
- Experience with human-computer interaction for robots, especially home robots.
- Comfortable navigating unfamiliar systems; resourceful, curious, and able to take ownership.
- Works well in rapid iteration cycles and small, collaborative teams.
β¨ Benefits
- Build hardware supporting computer vision, audio processing, and interaction understanding.
Full job description
Human Computer Lab is a research lab building character robots that feel alive and responsive. Our first robot, LeLamp, explores a new category of consumer robotics where everyday objects become interactive and help us reshape our attachment to technology.
Our goal is to push the frontier of human-robot interaction by making technology more legible, emotionally intuitive, and human-centered. We are building the foundation for a new generation of robots designed for everyday environments.
What to expect
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 build real-time robotics systems, and integrate robotic hardware with machine learning β turning research and simulation into reliable, production-ready robots.
In this role, you will:
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
You may be a good fit if you:
Are pursuing a degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, Mechatronics, or a related field
Have experience designing robotics hardware and electronics
Have experience in prototyping and building with microcontrollers, embedded systems, and PCBs
Have strong CAD skills using tools such as Onshape, SolidWorks, Fusion360, or similar, as well as proficiency in 3D printing
Have experience with human computer interaction as it relates to robots, especially robots in the home
Are 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.
You will be a strong fit, if you:
Are 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.
Are 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.
The early team becomes the DNA of the company. We set ourselves and others to a high standard, and we respond with kindness when things get hard but keep everyone accountable. This requires us to be curious, creative, and diverse in our thinking and approach.
Weβre proud to be an equal opportunity employer and consider all qualified applicants regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Even if you donβt meet every single requirement, we encourage you to apply. Studies show that women and underrepresented groups often hold back unless they meet 100% of the criteria - we donβt want that to be the reason we miss out on great talent.
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