CAD / Geometry Engineer

Rethink recruit; California (MO); On-site; USD 300,000 - 400,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

401(k) with company match

Office lunch and snacks

Commuting to office covered

Job summary

Spectral Labs seeks a CAD/Geometry Engineer to build geometry pipelines and work with CAD kernels for ML data pipelines. You will shape data representations and contribute to model architecture alongside researchers.

You will collaborate with a small team on high-impact projects, with opportunities to lead data collection and participate in end-to-end system development in a fast-moving environment.

Qualifications

• 3+ years of experience in computational geometry, CAD data processing, and/or geometry kernel development.
• Direct experience with Parasolid, ACIS, or comparable kernel API; understanding kernel internals and geometry math.
• Strong knowledge of B-rep geometry, NURBS curves/surfaces, and solid modeling fundamentals.
• Proficiency in C/C++ and comfort working in complex codebases.

Responsibilities

• Design and build high-performance geometry pipelines that ingest CAD data across formats, extracting B-rep geometry, feature trees, and parametric data for ML consumption.
• Work inside or on top of CAD kernels to extract, manipulate, and reason about solid geometry programmatically.
• Collaborate with the research team on model architecture and data representation decisions as the processed data evolves.
• Build automated systems for CAD data extraction, encoding, reconstruction, and verification across the full pipeline.
• Lead data collection and curation efforts as appropriate.
• Collaborate with a small, elite team of researchers and engineers across domains.

Skills

Computational geometry

CAD data processing

Pipelines development

3D geometry intuition

Education

PhD or related field

Tools

Parasolid

ACIS

Kernel APIs

Job description

What we're looking for

Spectral Labs is looking for a CAD/Geometry Engineer to work alongside our core team, building the geometry and data pipelines that will power the next generation of CAD foundation models. You'll work at the intersection of computational geometry, CAD kernel internals, and AI research, collaborating directly with our research team on decisions that span data representation and model architecture. This is a high-impact role that will shape the quality and capabilities of our models.

Responsibilities

• Design and build high-performance geometry pipelines that ingest CAD data across different file formats, extracting and converting B-rep geometry, feature trees, and parametric data into universal feature representations for ML consumption.
• Work directly inside or on top of CAD kernels to extract, manipulate, and reason about solid geometry programmatically.
• As the processed data representation evolves together with the model, collaborate with the research team on model architecture/design decisions.
• Build automated systems for CAD data extraction, encoding, reconstruction, and verification across the full pipeline.
• Depending on experience, lead our data collection & curation efforts
• Work closely with a small, elite team of researchers and engineers across domains

Qualifications

• 3+ years of experience in relevant engineering field with experience in computational geometry, CAD data processing, and/or geometry kernel development. You've built real pipelines that operate on real CAD data.
• Direct experience working with or alongside at least one CAD or geometry kernel API: Parasolid, ACIS, or comparable. You understand kernel internals and computational geometry from first principles, including the underlying mathematics and algorithms, rather than just high-level API integration or CAD application usage.
• Strong working knowledge of B-rep geometry, NURBS curves/surfaces, and solid modeling fundamentals.
• Strong intuitive grasp of 3D geometry, demonstrated through background.
• Familiarity with CAD data interchange formats and the practical challenges of parsing and converting between them.
• Experience solving problems that stump others. Must love the process of solving hard problems.
• Proficiency in C/C++ and comfort working in complex codebases.

Strong Pluses

• Experience with feature tree extraction and parametric/history-based modeling internals.
• Exposure to computational geometry algorithms beyond what kernels provide already.
• Experience in any domain requiring rigorous spatial reasoning at scale (robotics, simulation, manufacturing, traditional 3D graphics, etc.).
• PhD or deep research background in computational geometry, computational mechanics, or a related field..
• High GPA in a competitive undergrad program.
• Objectively impressive achievements in any domain.
• Comfort working with cloud infrastructure and data pipelines (though with intuition and motivation this can be picked up very quickly).
• Familiarity with ML concepts, and experience applying ML to geometry or physics problems are strong signals. You don't need to train models, but you understand what data representation decisions mean for model performance.
• Impressive achievements in any domain.

Visa Sponsorship

We fully sponsor visas end-to-end. We've done it before, we have immigration counsel, and if we want to hire you, we don't want paperwork to get in the way. If we make you an offer, we'll put real resources and effort behind getting you here. The process can be slow, frustrating, and stressful, but we'll handle the heavy lifting on our end so you can focus on what you're great at.

Compensation and Benefits

• Compensation band of $300-$400k
• Multiple health insurance options, including option with 100% premium covered
• Dental insurance
• 401(k) with Company match
• Company-expensed lunch, dinner, and snacks at the office
• Company-expensed commuting to and from the office