Formlabs
Algorithms Software Intern (Fall 2026)
Somerville, MA · Intern · Internship
No sponsorshipDetected 2 days ago
C++Algorithms
About the role
- Join Formlabs if you want to bring groundbreaking professional 3D printers to the desktop of every designer, engineer, researcher, and artist in the world.
- Software is at the center of our product development, as it bridges the transition from digital models to beautiful physical form in 3D printing.
- Our software team constantly works to improve the UI experience, and loves to get their hands dirty with 3D geometric algorithms and other puzzling problems.
Responsibilities
- Help us build an inclusive community that will change the face of 3D printing.
- Develop novel and performant algorithms in modern C++ to tackle problems related to laser path planning, physics modeling, computational geometry, and 3D rendering
- Optimize and improve existing code to make every clock cycle count
- Design and implement well-structured code with strong focus on maintainability, reusability, and testing
- Interested in developing high-performance software at the intersection of mathematics and science
Compensation
- Interns at Formlabs are paid on a bi-weekly pay schedule.
- The pay range for this role will depend on your skills, qualifications, experience, location and expected impact on the organization.
- The bi-weekly pay range for this role is:
- $1,850 - $2,250 USD
Benefits
- Flexible Out of Office Plan - take time when you need it
- We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
- Experienced in developing and optimizing low-level software (bonus points for C++!)
- Ample on-site parking & pre-tax commuter benefits
Equal opportunity
- We are an equal opportunity employer and value diversity at our company.
Visa & Work Authorization
- Many opt-in culture events across our diverse community
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This listing is sourced directly from Formlabs's careers page and normalized into a canonical job model.