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Human Computer Lab, Inc

Intern – Mechanical Engineering

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Recruitment began on July 22, 2026
and the job listing Expires on August 22, 2026
Internship
Apply Now

About Us

Human Computer Lab is a robotics startup and research lab building expressive 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.

About the Role

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.

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.

We are looking for people who:

  • 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.

Job Details

Location: San Francisco, California; Toronto, Ontario; Waterloo, Ontario

Position Type: Internship

Work Arrangement: In-person

Apply Now

Labor Market InsightsIn partnership withLightcast logo

Explore occupations by career categories and pathways and use real time labor market data to power your decision making.

First, choose an industry of interest, then filter for occupation. (If you'd like to see data for a specific location only, filter by state.)

  • 01 Occupation Description
  • 02 Employment Trends
  • 03 Top Employers
  • 04 Education Levels
  • 05 Annual Earnings
  • 06 Technical Skills
  • 07 Core Competencies
  • 08 Job Titles

Occupation Description

Employment Trends

The number of jobs in the career for the past two years, the current year, and projections for the next 10 years. Job counts include both employed and self-employed persons, and do not distinguish between full- and part-time jobs. Sources include Emsi industry data, staffing patterns, and OES data.

Top Employers

These companies are currently hiring for .

    Education Levels

    The educational attainment percentage breakdown for a career (e.g. the percentage of people in the career who hold Bachelor’s Degrees vs. Associate Degrees). Educational attainment levels are provided by O*NET.

    Annual Earnings

    Earnings figures are based on OES data from the BLS and include base rate, cost of living allowances, guaranteed pay, hazardous-duty pay, incentive pay (including commissions and bonuses), on-call pay, and tips.

    Technical Skills

    A list of hard skills associated with a given career ordered by the number of unique job postings which ask for those skills.

      Core Competencies

      The skills for the career. The "importance" is how relevant the ability is to the occupation: scale of 1-5. The "level" is the proficiency required by the occupation: scale of 0-100. Results are sorted by importance first, then level.

        Job Titles

        A list of job titles for all unique postings in a given career, sorted by frequency.

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