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Formlabs

3D Print Optimization Engineer

Boston, MAFrom $125kmidAdded yesterday

About this role

Formlabs seeks a 3D Print Optimization Engineer to enhance SLA and SLS printing performance by solving multidisciplinary challenges across hardware, software, and materials. You'll conduct root cause analysis and design experiments to drive customer-focused improvements in speed, reliability, accuracy, and ease of use.

What you'll do

  • Optimize SLA and SLS 3D printing platforms by analyzing mechanics, fluid dynamics, software, chemistry, optics, electronics, and thermodynamics
  • Conduct root cause analysis on complex system failures and performance issues
  • Design and execute controlled experiments to isolate variables in complicated printing systems
  • Develop commercializable solutions that measurably improve customer print performance
  • Collaborate across disciplines to address multifaceted technical challenges
  • Validate improvements and assess customer impact before product release

What they're looking for

  • Root cause analysis and problem-solving
  • Experimental design and statistical analysis
  • Multi-disciplinary engineering knowledge (mechanics, fluids, optics, thermodynamics)
  • Python or other programming languages
  • CAD software proficiency
  • Material properties and characterization
  • Attention to detail and ownership mindset
  • Cross-functional collaboration

Benefits

  • Equity program with RSUs
  • Comprehensive healthcare (medical, dental, vision)
  • 401K matching and financial advisor access
  • Generous parental leave (up to 16 weeks) and sabbatical leave (up to 6 weeks)
  • Flexible time off, on-site parking, professional development, and unlimited 3D prints
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Formlabs

Formlabs builds advanced 3D printing hardware and systems, with particular focus on dental and professional applications. The company is hiring for engineering roles including robotic systems integration, mechanical design, and reliability testing to develop and improve their 3D printing technology.

Website
formlabs.com
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Likely interview questions

  • Walk us through a complex optimization problem you've solved—how did you identify the root cause across multiple domains?
  • Describe your experience designing experiments with many interdependent variables. How did you isolate key factors?
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