Engineering Intern

Reposted One Month Ago
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Menlo Park, CA, USA
In-Office
Internship
Artificial Intelligence • Robotics • Industrial • Automation
The Role
Work alongside founding engineers on real robotics problems: design and prototype mechanical components and test rigs, contribute to ML training and data pipelines, integrate sensors and electrical subsystems, build tooling and dashboards, run experiments, analyze results, and ship work that goes onto robots.
Summary Generated by Built In

About Gradient Robotics

Gradient Robotics is building intelligent robots for data centers and factories. We believe the fastest practical path to capable general-purpose robotics is through industry deployment. We're here to change the world with robotics.

We own and build our full robotics stack — designing the hardware, building the software systems, training ML models, and manufacturing through a global supply chain — for world-class iteration speed, reliability, and scale.

We've built 3 generations of robots with a team of 7, backed by top-tier investors and working toward pilots with the world's largest data center builders. Our team created and built the best-selling open-source humanoid robots in the US at K-Scale Labs and worked on generations of foundation software for Tesla Optimus.

The Role

As an engineering intern at Gradient, you'll work directly alongside our founding engineers on real problems — not side projects. Depending on your background and interests, you could be designing mechanisms in CAD, writing ML training pipelines, building test rigs, or debugging hardware on the bench. You'll ship work that ends up on our robots.

What You Might Work On

  • Design and prototype mechanical components, fixtures, or test rigs

  • Contribute to ML training, evaluation, or data collection pipelines

  • Integrate sensors, actuators, or electrical subsystems into robot hardware

  • Build tools, scripts, or dashboards that accelerate the engineering team

  • Run experiments, analyze results, and present findings to the team

What We're Looking For

  • Currently pursuing a degree in Mechanical Engineering, Electrical Engineering, Robotics, CS, or a related field

  • Hands-on builder — you've made things outside of class (personal projects, research labs, competition teams, etc.)

  • Strong fundamentals in at least one of: mechanical design, embedded systems, controls, or machine learning

  • Comfortable with ambiguity and moving fast — you'll figure things out as you go

  • Bias toward action — you'd rather build a rough prototype than wait for a perfect spec

Nice to Have

  • CAD proficiency (SolidWorks, Fusion 360, Onshape)

  • Experience with Python, PyTorch, ROS, or embedded C/C++

  • Hands-on work with robots, 3D printing, machining, or electronics

  • Prior internship or research experience in robotics or hardware

You're a Fit If You

  • Get excited about building physical things that work in the real world

  • Want to learn fast by working next to experienced engineers on hard problems

  • Would rather intern at a 5-person robotics company than a 5,000-person one

At Gradient, interns don't shadow — they ship. If that excites you, we should talk.

Skills Required

  • Currently pursuing a degree in Mechanical Engineering, Electrical Engineering, Robotics, Computer Science, or a related field
  • Hands-on builder with personal projects, research, or competition experience
  • Strong fundamentals in at least one of: mechanical design, embedded systems, controls, or machine learning
  • Comfortable with ambiguity and moving fast
  • Bias toward action; prefers building prototypes over waiting for perfect specs
  • CAD proficiency (SolidWorks, Fusion 360, Onshape)
  • Experience with Python, PyTorch, ROS, or embedded C/C++
  • Hands-on experience with robots, 3D printing, machining, or electronics
  • Prior internship or research experience in robotics or hardware
Am I A Good Fit?
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The Company
Year Founded: 2025

What We Do

The datacenter buildout is the largest industrial project in human history. Gradient builds the autonomous robots that make it possible. Partnered with the world's largest AI infrastructure companies and backed by the industry's best investors, we move fast and build full-stack systems that matter.

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