Hardware Procurement Manager

Provision seeks to create a world of labor abundance through physical AI. Robotics will initiate a world of opulence in which the work we have long deferred finally gets done and services and tasks we never imagined become ordinary, at greater speed and scale. Our role in bringing this transformation into labor abundance is our edge in complex, scaled physical world services operations. That manifests as capturing immensely diverse, in the wild, high quality pre-training data, as well as every component of the stack in which there is a need for physical world complexity and a need for scale. This includes Physical world evals, multimodal collection, post training, as well as deployments.

Our operating principles are as follows:

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  Take over the relationship with the CM and component suppliers for our data collection hardware, including camera modules, IMUs and sensor rigs, mounts, and PCBs/PCBAs

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  Conduct incoming, in-process, and outgoing quality inspection. Develop AQL sampling plans, establish inspection standards, and drive root cause and corrective action on defective product

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  Monitor and control yield, DPPM, lead times, MOQ, and unit cost for all components in the BOM

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  Manage NPI from EVT through DVT and PVT. This includes running pilot builds, providing DFM feedback to the hardware team in San Francisco, and obtaining golden sample approval prior to mass production

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  Enforce ECO discipline so that design changes are implemented correctly on the floor and what ships matches the current revision

Who are they:

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  Has managed contract manufacturing in Shenzhen before and is familiar with the local supplier base

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  Working knowledge of camera modules and optics, PCB fabrication and assembly, SMT, and mechanical assembly

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  Able to understand mechanical working drawings, GD&T, schematics, and a BOM, and able to hold a supplier to them

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  Experience with NPI process, quality systems, and supplier audits

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  Fluent in Mandarin and English

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  Mechanical or electrical engineering background strongly preferred