New Graduate Software Engineer - Machine Learning and CAD Systems

Raydar • United States

Visa Sponsorship

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AI Summary

Build and maintain geometry/data pipelines for 3D CAD models and machine learning systems. Develop evaluation harnesses and internal tools to support model training and research. Work closely with a small, technical team on challenging engineering problems.

Key Highlights

Venture-backed spatial intelligence company building foundation models for physical engineering design

Full-time on-site role in San Francisco with competitive compensation and equity

Entry-level role with broad scope across ML, geometry, graphics, and data systems

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Key Responsibilities

Build and maintain geometry and data pipelines to parse CAD, convert formats, extract features, and verify output quality

Write evaluation harnesses and tooling to assess model performance improvements

Support machine learning training and experiment runs, instrument systems, debug failures, and present results clearly

Develop internal tools to streamline workflows for researchers and engineers

Collaborate with a small, experienced team to solve challenging technical problems

Take ownership of well-scoped projects and expand responsibilities as skills grow

Technical Skills Required

Python Machine Learning Data Pipelines

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Benefits & Perks

$150K-$220K base salary

Total compensation around $300K including bonus

Competitive equity and benefits

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Nice to Have

Exposure to CAD, computational geometry, robotics, perception, graphics, or game development

Experience building evaluation systems or supporting model training infrastructure

Research or internship experience at a high-bar technology company or laboratory

Job Description

About the company

Our client is a venture-backed spatial intelligence company building foundation models for physical engineering design. Its first model is a generative foundation model for structured 3D parametric CAD, and the team is now developing the next generation of its system. Founded in 2022 and backed with $27M in funding, the company has grown from six people at its last financing to a highly technical team of 1

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The role and why it mat

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