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Hardware Engineering

Manufacturing Engineer - Process Development & Data Science

South San Francisco, CA

2019_06_09_PLENTY_TIGRIS_GROW_ROOM_1236_FNL
At Plenty, we’re on a mission to give people in local communities everywhere access to the freshest, most amazing tasting produce possible. And to do so in a way that’s better for the planet.

About Role

As a Plenty Manufacturing Engineer, you have the critically important role of developing, designing, launching, and ramping farm production systems, production lines, equipment, and processes. You will work closely with the cross-functional teams (Design, Quality, Operations, Production, Sustaining, and Supply Chain) throughout the entire lifecycle of a product (from initial design through prototype development and into full production) to develop high quality and efficient manufacturing equipment and processes that will produce the world’s best tasting leafy greens and other fantastic agricultural products. This will be an extremely hands-on position with both equipment and data.

What You'll Do 

Process Development & High Volume Manufacturing

  • Conduct exploratory studies to identify processes to meet challenging product requirements
  • Identify critical process parameters and conduct experiments using Design of Experiments (DOE) methods to determine sensitivity and acceptable process windows
  • Develop cause and effect analysis, Process Failure Mode Effects Analysis (PFMEA) and control plan
  • Troubleshoot and identify corrective measures to critical equipment (mechanical, electrical, thermal, optical etc.) related problems
  • Conduct installation and qualification of tools using Measurement Systems Analysis (MSA), Process Stability and Capability, and equipment/process matching
  • Enable Statistical Process Control (SPC) and create standard operation and maintenance procedures to support the transition to sustainable production  
  • Execute data driven root cause analysis as part of reject validation and excursion investigations
  • Drive continuous improvement & optimization activities to meet production targets including  availability, quality, and performance

Data Science

  • Solve manufacturing challenges (e.g. process capabilities, efficiency, cost) through descriptive, predictive and prescriptive analytics methods
  • Build data pipelines to enable operational and exploratory analysis
  • Define and standardize metrics, and implement reports and dashboards using data visualization tools

What We're Looking For 

  • BS/MS/PhD in Engineering, Physics, Mathematics (or equivalent)
  • Minimum of 1 year experience in an automated manufacturing environment (including internships)
  • Hands-on experience in building/troubleshooting automation systems and acquiring experimental data
  • Experience with querying, aggregating, analyzing, and visualizing data 
  • Proficiency with scripting (Python), querying (SQL), and statistical (JMP) languages/programs (or equivalent)
  • Strong understanding of Statistical Analysis, Design of Experiments (DOE), Gauge Repeatability and Reproducibility (GRR), Failure Mode Effects Analysis (FMEA), Statistical Process Control (SPC) and other Six Sigma Tools
  • Experience with machine/deep learning techniques are a bonus
  • Able to work under pressure while managing competing demands and tight deadlines of multiple simultaneous projects and challenges
  • Strong problem solving skills and aptitude for learning systems quickly
  • Communicate effectively with direct team and peers within a manufacturing and engineering organization. This includes exemplary verbal and written communication skills.
  • Detail oriented with strong record-keeping and organizational skills

About Plenty

Plenty is here to change the way people eat, making extraordinary flavor and nutrition more available in a way that's better for people and the planet. We build farms that can put craveable flavor first while delivering exceptional yields. And our produce is always pesticide-free and grown using less than 1% of the land and 5% of the water of outdoor farming.

 

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