Mechanical Design Engineer

Posted 7 Hours Ago
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San Francisco, CA, USA
In-Office
Senior level
Artificial Intelligence • Hardware • Machine Learning • Robotics
The Role
Design, prototype, and scale durable robots: create parts and assemblies in Onshape, build and test prototypes, ensure serviceability/safety, produce engineering drawings, source parts with suppliers, and design qualification and end-of-line tests while supporting production.
Summary Generated by Built In

Pantograph is training general models that start by watching internet-scale video and end up on robots. We think the path to capable robots runs through general intelligence rather than narrow, robot-specific skills. We're scaling simple methods across video games, real-world video, and our own fleet of affordable, durable robots.

We're looking for a broadly talented hands-on mechanical engineer to design, prototype, and scale our first generation of robots. Our robots are durable tools, built to survive thousands of hours of real-world operation while still feeling intentional and well-crafted. We want someone who brings product sensibility to machines that are meant to be useful.

Responsibilities:

  • Design parts and assemblies in Onshape that balance load, form factor, durability, cost, and ease of assembly

  • Build and test prototypes rapidly, with an emphasis on reliability and durability

  • Sweat the details of serviceability, transportability, safety, and usability

  • Support procurement by creating engineering drawings, working with suppliers to source parts and ensure final quality

  • Design test fixtures, qualification fixtures, and end-of-line tests

  • Work closely with the rest of the hardware team to take designs from prototype through production

You might be a good fit if you:

  • Have a track record of designing and shipping a physical product at scale (this matters more to us than years of experience or any specific degree)

  • Have experience designing for bent sheet metal and similar flat-pattern fabrication methods.

  • Have experience with cable routing and management, and designing around electronics

  • Have a working knowledge of reliability engineering — MTBF, failure rates, uptime modeling, and basic statistical analysis

  • Ruthlessly prioritize, love moving fast and making tangible progress

  • Communicate clearly and document your work on a small, collaborative team

Nice to have:

  • Broad familiarity with robotic systems — actuators, motors, sensors, and electromechanical integration

  • Experience designing for high-volume manufacturing

  • An eye for the details that make physical products satisfying to own and use

We're a small, fast-moving team working together in person in San Francisco. If this work excites you but you don't check every box, we'd still love to hear from you.

Skills Required

  • Proficiency designing parts and assemblies in Onshape/CAD
  • Track record of designing and shipping a physical product at scale
  • Experience designing for bent sheet metal and flat-pattern fabrication methods
  • Experience with cable routing and management and designing around electronics
  • Working knowledge of reliability engineering (MTBF, failure rates, uptime modeling, basic statistical analysis)
  • Rapid prototyping and hands-on prototype testing focused on reliability and durability
  • Ability to create engineering drawings and work with suppliers to source parts and ensure quality
  • Experience designing test fixtures, qualification fixtures, and end-of-line tests
  • Ability to collaborate with hardware team to take designs from prototype through production
  • Familiarity with robotic systems, actuators, motors, sensors, and electromechanical integration
  • Experience designing for high-volume manufacturing
  • Attention to product-level detail and usability that makes physical products satisfying
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The Company
6 Employees
Year Founded: 2025

What We Do

Pantograph is a San Francisco-based public benefit corporation and research lab developing generally intelligent robots. It combines scalable machine-learning methods with internet-scale video and real-world robotic data to train models that learn through exploration, failure, and repetition. The company also designs affordable, durable robots intended for broad deployment, aiming to make general-purpose robotics practical and support beneficial applications across physical environments.

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