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Foundry Robotics

AI-driven assembly robotics for industrial manufacturing

Head of Manufacturing Engineering

Manufacturing EngineeringConfirmed live in the last 24 hours
Full-timeEmeryville, CA, USA

About the Job

Requirements

  • 12+ years in manufacturing engineering for complex electromechanical hardware in automotive, aerospace, robotics, or consumer electronics at scale, including 5+ years leading engineers.
  • Launched at least one high-volume or high-mix assembly line end to end, including layout, stations, tooling, conveyance, line balance, and ramp.
  • Built an automation program and can assess where robots, fixtures, or people are appropriate, including learning from and correcting mistakes.
  • Hands-on design for manufacturing and design for assembly experience, including changing parts with customers or design teams to enable manufacturing.
  • Strong process fundamentals covering PFMEA, control plans, capability studies, standard work, takt, and OEE, and ability to lead Kaizen and capex reviews.
  • Hired and grown an engineering team from a handful to dozens.
  • Able to work effectively at a desk and on the shop floor in a company still building its factory.
  • Must be a U.S. person (U.S. citizen, lawful permanent resident, or protected individual as defined by 8 U.S.C. 1324b(a)(3)) due to ITAR and export control requirements.

Responsibilities

  • Own the multi-year manufacturing automation roadmap, selecting which operations to automate, in what sequence, and with what technology, and defending decisions with takt, capex, and risk numbers.
  • Design and launch a flexible assembly line that runs multiple customer products on shared stations, fixtures, and conveyance, with changeovers measured in hours rather than weeks.
  • Partner with software and robotics teams to deploy foundation-model-driven automation on the floor for assembly, inspection, kitting, and material handling, and decide where learned automation is preferable to fixed automation.
  • Specify and deploy autonomous material movement, including AMR/AGV fleets, kitting, and line-side replenishment, so material reaches stations without manual cart movement.
  • Own the Emeryville facility factory layout as a living design, including flow, cell boundaries, material routes, utilities, and ITAR-segregated areas, working with Facilities on the physical build-out.
  • Build the DFM/DFA practice that turns customer prototypes into products manufacturable at rate and yield, with engineers participating in customer discovery and quoting to identify cost and quality problems before purchase orders.
  • Build the Process Engineering team responsible for standard work, cycle time, line balance, yield, PFMEA, control plans, tooling and fixtures, and continuous improvement.
  • Own new product introduction from customer handoff to stable production, including pilot builds, PFMEA, control plans, work instructions, capability studies, and ramp.
  • Hire, develop, and lead manufacturing and process engineers, and set the engineering culture on the floor.

Desired Qualifications

  • Experience applying machine-learning-based robotics, such as learned grasping, vision-guided assembly, or foundation-model policies, in production or partnering closely with a team that has.
  • AMR/AGV or autonomous intralogistics deployment experience.
  • Experience in a multi-product or contract-manufacturing environment where changeover and flexibility were constraints.
  • AS9100 or ITAR-controlled production exposure.
  • Electromechanical assembly experience with robots, drones, or defense hardware.

About the Company

Foundry Robotics

AI-driven assembly robotics for industrial manufacturing

Foundry Robotics builds AI-driven robotics and software for industrial manufacturing, focusing on automating electromechanical assembly in high-throughput, high-mix environments. Its system combines robots, machine learning models, and a software-defined factory to enable data-driven assembly tasks that continuously improve through feedback loops. The company targets manufacturing workflows that are labor-intensive and hard to standardize, including defense-related production, aiming for observable, adaptable automation. The goal is to increase efficiency, adaptability, and scalability by turning production into programmable systems that respond to changing demand and constraints.

Company size
11-50
Company stage
Series A
Total funding
$113.5M
Headquarters
San Francisco, CA
Founded
2025

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