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Formlabs

3D Print Optimization Engineer

Boston, MA$85k–$125kfull-timemidAdded today

About this role

Formlabs seeks a 3D Print Optimization Engineer to enhance the performance of SLA and SLS printing platforms by solving complex, multi-disciplinary challenges across hardware, software, and materials. You'll drive root cause analysis and develop customer-focused solutions that accelerate print speed, reliability, and quality.

What you'll do

  • Conduct root cause analysis across mechanical, fluid dynamics, software, chemistry, optics, and thermal domains
  • Design and execute controlled experiments to understand system behavior and validate optimization hypotheses
  • Collaborate with cross-functional teams to identify performance bottlenecks and develop commercializable solutions
  • Gather and analyze customer feedback to prioritize optimization efforts with the highest market impact
  • Develop and test improvements to SLA and SLS printing platforms
  • Own optimization projects from conception through market release

What they're looking for

  • Root cause analysis and experimental design
  • Multi-disciplinary problem solving (mechanics, fluids, optics, thermodynamics, chemistry)
  • Python programming
  • CAD software
  • Material science and characterization
  • Attention to detail and ownership mentality
  • Cross-functional collaboration
  • Customer-focused thinking

Benefits

  • Equity compensation in the form of RSUs
  • Comprehensive healthcare (medical, dental, vision)
  • 401k matching and financial advisor access
  • Up to 16 weeks paid parental leave
  • Up to 6 weeks tenure-based sabbatical leave
  • Flexible time off policy
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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

  • Tell us about a time you tackled a complex, multi-disciplinary problem—how did you break it down and what was your approach?
  • Describe an experiment you designed to isolate a variable in a complicated system. What challenges did you face?
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