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Penumbra

Manufacturing Engineer I

Roseville, CA$72k–$94kexternalentryAdded today

About this role

Manufacturing Engineer I will develop and implement manufacturing solutions that bring new products to market while driving continuous improvement on the production floor. The role involves cross-functional problem-solving, process optimization, equipment qualification, and documentation within a regulated medical device environment.

What you'll do

  • Execute root cause analysis and implement innovative solutions to manufacturing problems
  • Design and implement fixtures, tooling, and equipment on production lines; perform equipment qualifications
  • Develop, optimize, and validate manufacturing processes using statistical techniques and engineering knowledge
  • Create and maintain product and process documentation; monitor equipment and process performance
  • Conduct testing protocols, process validations, and author technical reports with recommendations
  • Train production staff and technicians on processes, equipment, and documentation

What they're looking for

  • Root cause analysis and problem-solving
  • Process design and optimization
  • Statistical analysis and process characterization
  • Equipment qualification and validation
  • Technical writing and documentation
  • Cross-functional communication
  • Microsoft Office (Word, Excel, PowerPoint, Access)
  • FDA regulations and quality management systems

Benefits

  • Competitive compensation package
  • Equity program (when applicable)
  • On-site work in Roseville, CA
  • Exposure to medical device manufacturing
  • Professional development opportunities
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Penumbra

Penumbra develops innovative medical devices supported by embedded firmware and manufacturing excellence. The company is hiring mechanical design engineers, manufacturing engineers, R&D engineers, and forward-deployed engineers to optimize production processes, advance product development, and deploy AI-driven solutions.

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Likely interview questions

  • Describe a time you performed root cause analysis on a manufacturing problem and implemented a solution—what was the outcome?
  • How have you used statistical techniques or Lean principles to optimize a manufacturing process?