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Formlabs

3D Print Optimization Engineer

Boston, MAFrom $125kmidAdded today

About this role

Formlabs seeks a 3D Print Optimization Engineer to enhance SLA and SLS printer performance by analyzing hardware, software, and material interactions. You'll design experiments, conduct root cause analysis across multiple engineering disciplines, and commercialize solutions that improve customer printing speed, reliability, and accuracy.

What you'll do

  • Optimize SLA and SLS 3D printing platform capabilities through systematic analysis
  • Conduct root cause analysis spanning mechanics, fluid dynamics, software, chemistry, optics, and thermodynamics
  • Design controlled experiments to isolate and understand complex system variables
  • Solve multi-disciplinary engineering challenges independently
  • Develop and commercialize print performance solutions with measurable customer impact
  • Assess customer needs and quantify the potential benefits of optimization efforts

What they're looking for

  • Problem-solving and root cause analysis
  • Experimental design and scientific methodology
  • Multi-disciplinary engineering knowledge
  • Python coding (preferred)
  • CAD proficiency (preferred)
  • Material properties and characterization
  • Attention to detail and ownership mindset
  • Cross-functional collaboration

Benefits

  • Equity program with RSUs
  • Comprehensive healthcare coverage (medical, dental, vision)
  • 401(k) matching and financial advisory access
  • Generous parental leave (up to 16 weeks)
  • Tenure-based sabbatical (up to 6 weeks) and flexible time off
  • On-site amenities including meals, parking, and professional development
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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 problem you solved that required understanding multiple engineering disciplines—how did you approach it?
  • Tell us about an experiment you designed; how did you control variables and validate your findings?
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