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Mind Robotics

Industrial AI-powered robotics for manufacturing

Mechanical Design Engineer - Wearables

Design EngineeringConfirmed live in the last 24 hours
Full-timePalo Alto, CA, USANo salary listedIn-person

About the Job

Requirements

  • Exceptional mechanical intuition and understanding of forces, materials, and mechanisms.
  • End-to-end ownership of the mechanical architecture of a shipped wearable, head-worn, or handheld consumer device, including articulating architectural tradeoffs.
  • Experience packaging cameras, sensors, compute, and batteries into space-constrained enclosures with tight tolerance and alignment requirements, including setting those budgets.
  • Deep hands-on knowledge of injection molding and polymer selection from part design through tooling, T1, and production, including judgment about when to commit tooling.
  • Working fluency in soft goods and textiles, including straps, padding, fabric-to-rigid interfaces, and skin-contact ergonomics.
  • High proficiency in SolidWorks, Catia, NX, or similar computer-aided design tools, including surfacing.

Responsibilities

  • Own the mechanical architecture of Mind's wearable data collection platform across head-worn and body-worn devices, including deciding what carries forward between generations and what gets rebuilt.
  • Set the mechanical requirements for optics, electrical, and compute teams, including volume and keep-out budgets, alignment and stiffness targets, thermal limits, and mass allocation.
  • Own tradeoffs when mechanical budgets conflict and decide which requirements to relax.
  • Decide which mechanical problems each device generation addresses and which it deliberately does not.
  • Own the build and tooling strategy, including decisions about what is printed, machined, molded, or purchased; when tooling is committed; and which molders, soft goods vendors, and contract manufacturers Mind develops long-term relationships with.
  • Set mechanical standards for other hardware teams, including design review, tolerance analysis practice, materials and skin-contact qualification, and design-for-manufacturing expectations for vendors.
  • Build, test, and break prototypes on real users.
  • Personally run tolerance, structural, drop, and thermal analyses that inform the architecture.
  • Grow the mechanical bench through design review, mentorship on the wearable stack, and hiring.

About the Company

Mind Robotics

Industrial AI-powered robotics for manufacturing

Mind Robotics builds industrial AI and robotics for manufacturing and other physical-world operations, using production-line data as a data flywheel to improve its robots. Its system combines AI-powered robotic hardware with software that analyzes factory data, deploying automated workflows on industrial sites and continually learning from real production data to boost performance and throughput. It differs from competitors through strong backing from Rivian (ownership stake and a board chair) and its automotive-manufacturing background, plus large funding rounds that support scaling AI-powered automation across industries. The goal is to enable widespread, AI-driven robotic automation at industrial scale across manufacturing and other physical-world operations.

Company size
51-200
Company stage
Late Stage VC
Total funding
$1B
Headquarters
Palo Alto, CA
Founded
2025

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