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Raydar

Research Engineer, CAD

Posted 3 Days Ago
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In-Office
Toronto, ON, CAN
Senior level
In-Office
Toronto, ON, CAN
Senior level
Develop geometry and CAD software that matches and validates 3D models against 2D drawings. Contribute to geometry libraries and design tools, extend a toolpath computation engine, investigate geometric algorithms, and eventually own a core software subsystem from design through maintenance. The role applies mathematical and low-level software expertise to physical manufacturing and requires solving loosely defined computational problems.
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About the company

Our client is a manufacturing company.

The role

Raydar is recruiting for this role on behalf of our client. Research-focused engineer who builds geometry and CAD software, automating checks between 3D models and 2D drawings. The role grows into owning a core software subsystem end to end, working alongside a technical lead on hard computational problems.

What you'll do

- Automate the matching and validation of 3D models against their 2D drawings.

- Contribute to core geometry libraries and internal design tooling.

- Extend and eventually take ownership of a toolpath computation engine.

- Explore unresolved questions in geometric algorithms and design software.

- Become the expert on one core subsystem and own it from design through long-term maintenance.

- Work closely with the technical lead and engineering team to apply mathematical software work to physical production.


Requirements

What we're looking for

- Strong mathematics and computational geometry fundamentals.

- Exposure to low-level software work, such as embedded code or firmware, or to graphics and 3D modelling tools.

- Hands-on understanding of how hardware and operating systems execute code, valued over general web development.

- Capacity to work through demanding questions in shape modelling and machine path calculation.

- Comfort tackling loosely defined problems where the tools and scope are still being chosen.

- Ability to drive a subsystem from investigation through implementation.

- Openness to becoming the team's most knowledgeable person on one component of the codebase.

- Ability to connect rigorous theory with practical outcomes in manufacturing.

- 2 to 8 years of relevant experience.

Bonus points

- Math competition experience at a national or international level.

- Prior academic research during undergraduate studies in a quantitative discipline.

- Machine learning or computer graphics experience.

- Background in self-driving systems work on demanding, loosely scoped engineering questions.

- Production geometry or toolpath software experience.

- Experience at a semiconductor or other deep-technical hardware company.


Benefits

Compensation and benefits

- Base salary: $250K to $300K

- Equity

- Medical coverage

- Dental coverage

- Mental health coverage

Location and work model

- Toronto, Canada

- On-site, fully in person

- Full-time

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