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Zipline

Builds and runs autonomous drone delivery

Industrial Engineer

Manufacturing EngineeringConfirmed live in the last 24 hours
Full-timeSouth San Francisco, CA, USA$104k - $170kIn-person

About the Job

Requirements

  • A bachelor's degree in Industrial Engineering, Manufacturing Engineering, Mechanical Engineering, Operations Research, Systems Engineering, or a related technical field is required.
  • At least 2 years of experience in industrial engineering, manufacturing engineering, operations engineering, production systems, or a comparable environment is required.
  • Strong understanding of production system design, capacity planning, line balancing, takt time, cycle-time analysis, standard work, and manufacturing flow is required.
  • Demonstrated experience performing time studies and translating observations into labor and capacity models is required.
  • Experience designing or improving manufacturing layouts and material-flow systems is required.
  • Strong analytical skills and the ability to turn imperfect production data into clear engineering and business decisions are required.
  • Experience identifying manufacturing constraints and driving improvements in throughput, productivity, utilization, lead time, or cost is required.
  • Ability to build financial and operational models that support capital expenditure, automation, make-or-buy, and factory-scaling decisions is required.
  • Strong spreadsheet and data-analysis skills and comfort working with manufacturing data from enterprise resource planning, manufacturing execution systems, labor-tracking, and production systems are required.
  • Ability to work directly on the factory floor, understand production operations, and collaborate effectively with technicians, manufacturing engineers, production leaders, quality engineers, supply chain, and design engineering is required.
  • Strong communication skills and the ability to convert complex analysis into simple recommendations and executable plans are required.
  • A high degree of ownership is required, including identifying an ambiguous factory-level problem, defining what needs to be measured, developing a solution, and driving it through implementation.

Responsibilities

  • Own factory performance and production-system design, connecting individual processes into an efficient end-to-end system.
  • Improve factory layouts, workstations, operator movement, and material presentation.
  • Lead time studies, define standard work and labor models, and balance station loading against takt time.
  • Build capacity and capital-investment scenarios for labor, equipment, tooling, shifts, floor space, and future demand.
  • Identify current and future bottlenecks and implement improvements in throughput, utilization, cycle time, labor efficiency, and cost.
  • Define work-in-process, buffer, queue, and rework strategies that protect output while reducing inventory and lead time.
  • Partner with Manufacturing, Production, Supply Chain, and Material Planning on line architecture, lineside availability, and replenishment.
  • Develop factory key performance indicators, decision tools, make-versus-buy analyses, and investment cases, and carry improvements through implementation.

Desired Qualifications

  • Five to seven years of relevant experience is preferred.
  • Experience scaling a complex electromechanical product from new product introduction or low-rate production into higher-volume manufacturing is desirable.
  • Experience with discrete-event simulation, optimization, operations research, or other production-system modeling techniques is desirable.
  • Experience with SQL, Python, business intelligence tools, or other methods for analyzing large manufacturing datasets is desirable.
  • Experience with enterprise resource planning and manufacturing execution system platforms, and developing manufacturing dashboards or operational reporting systems, is desirable.
  • Experience developing business cases for automation or major manufacturing equipment is desirable.
  • Experience with Lean manufacturing concepts, Theory of Constraints, process failure mode and effects analysis, value-stream mapping, or structured continuous-improvement methodologies is desirable.
  • Experience supporting factory expansions, new production lines, or greenfield manufacturing operations is desirable.

About the Company

Zipline

Builds and runs autonomous drone delivery

Zipline builds and operates autonomous drone delivery networks for retailers, restaurants and healthcare systems that need to move products without road traffic. Its electric aircraft carry food, prescriptions and other supplies from partner sites or distribution hubs to customers and health facilities. The company combines aircraft, charging equipment and delivery software with flight operations, so partners buy a logistics service rather than manage their own drones. Merchants use its ordering and tracking tools to reach customers, while governments and health systems contract for medical supply delivery. Zipline was founded in 2014 and has its headquarters in South San Francisco, California.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$3.6B
Headquarters
South San Francisco, CA
Founded
2014

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