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Haptica Robotics

Delivers tactile data for robot training

Lead Mechanical Engineer

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

About the Job

Requirements

  • You have 3 to 5+ years in mechanical product design.
  • You have an MSc or equivalent in Mechanical Engineering.
  • You've brought at least one product from concept to production and worked at a startup, or comparable fast-paced environment.
  • You're a leader who brings high technical standards and an above-average communication skillset.
  • You're excellent at computer-aided design (CAD), with Onshape preferred and SolidWorks or Fusion acceptable, and bring good habits around top-level assemblies and versioning.
  • You understand the standards robotics companies need to uphold to deploy in production, and have experience designing and running test protocols to ASTM or similar.
  • You're comfortable with mechatronics and have worked with sensors and custom boards, can flash firmware and make small changes, and can use a multimeter and an oscilloscope to identify a problem before handing it to an electrical engineer.
  • You're a hands-on prototyper who is good at 3D printing, operating a desktop computer numerical control (CNC) machine, machining, and managing fixtures to create an enhanced product.
  • You have experience working with manufacturing partners overseas and understand obtaining quotes, calibrating timelines, and adjusting design for manufacturability.

Responsibilities

  • Own Haptica's build end-to-end, including planning internal and external builds, owning assembly standard operating procedures (SOPs), jigs and fixtures, kitting, and bill of materials (BOM) and inventory. Own internal assembly and scaling up engineering validation test (EVT) and design validation test (DVT) builds with external partners.
  • Integrate Haptica with customers by partnering with major robotics companies to deploy Haptica hardware with external platforms. Drive the mechanical engineering roadmap that makes integrating Haptica easy and reliable with robotic hands and grippers.
  • Build out the test program by laying out standard American Society for Testing and Materials (ASTM) and International Organization for Standardization (ISO) testing protocols (peel, cycle, abrasion, environmental) to be run in-house or externally. Own testing planning that informs design decisions and fulfills customer standards.
  • Partner with supply chain vendors by working directly with contract manufacturers in the United States and Asia to transition from manual assembly to small-batch production. Help define scope, testing, feedback on manufacturability, and balance quality with speed and cost constraints.
  • Set standards for process and documentation, including product requirements documents (PRDs), BOMs, and SOPs, and help the team improve handoffs from design to manufacturing.
  • Work closely with engineers earlier in their careers, mentor and lead them, and build out a function where learning from each other and customers is a priority.
  • Work closely with the CEO to ensure the technology delivers the reliability, robustness, and comfort robotics companies require.

Desired Qualifications

  • Experience in pneumatics or fluidics, including valves, manifolds, sealing, or leak testing.
  • Experience in softgoods, sewn goods, textiles, or wearables.
  • Experience owning or managing design for manufacturing (DFM) at a larger company and growing a product to scale.
  • Onshape experience is preferred; SolidWorks or Fusion are acceptable alternatives.

About the Company

Haptica Robotics

Delivers tactile data for robot training

Haptica Robotics develops hardware and software to collect high-fidelity tactile and motion data for training embodied AI in robots. Its plug‑and‑play system attaches washable pneumatic sensors to grippers or full hands and pairs with a software pipeline to capture synchronized multi‑modal data (tactile force, pressure, depth video, and hand/arm kinematics). This time-aligned data supports imitation learning, improved grasp and manipulation control, and world-model development to close the sim-to-real gap for dexterous manipulation in industrial settings. The company targets robotics firms and AI labs that need rich tactile data, providing essential data and infrastructure to advance embodied intelligence in automation.

Company size
1-10
Company stage
Not listed
Total funding
Not listed
Headquarters
Palo Alto, CA
Founded
2025

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