# Engineer, New Grad **Company:** [Raydar](null/companies/5ErCjQrw6G4QCyNL7kiKAz.md) **Location:** San Francisco, United States **Workplace:** on site **Employment type:** Full-time [Apply for this job](null/view/4633f779-1db8-4e7b-8072-e74ccb26ab32) ## 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 12. The role and why it matters This is a broad new-graduate engineering role for someone with strong fundamentals and the curiosity to work across machine learning, geometry, graphics, data systems, evaluation, and internal tooling. You will begin with well-scoped projects, learn the full system, and take on more ownership as you demonstrate strength. No CAD or manufacturing background is required. What you'll do • Build and maintain geometry and data pipelines that parse CAD, convert formats, extract features, and verify output quality. • Write evaluation harnesses and tooling that help the team determine whether model performance has improved. • Support machine learning training and experiment runs, instrument systems, debug failures, and present results clearly. • Build internal tools that remove friction for researchers and engineers. • Work across the stack and develop depth in the areas where you have the greatest impact. • Own challenging technical problems in close collaboration with a small, experienced team. ## Requirements What we're looking for • Zero to two years of software engineering experience, including internships or research. • A bachelor's or master's degree in computer science, engineering, mathematics, physics, or a closely related field from a rigorous program. • Hands-on experience with machine learning training, data pipelines, internal tooling, or adjacent technical work. • Strong programming ability in Python and/or C or C++. • Evidence of high performance through internships, research, ambitious technical projects, or work in a demanding engineering environment. • A generalist mindset, intellectual curiosity, and willingness to begin broadly before specializing. • A track record of finishing difficult work and taking initiative without waiting for detailed instructions. Bonus points • Exposure to CAD, computational geometry, robotics, perception, graphics, game development, or related coursework and projects. • Experience building evaluation systems or supporting model training infrastructure. • Research or internship experience at a high-bar technology company or laboratory. ## Benefits Compensation and benefits • $150K-$220K base salary. • Total compensation around $300K, including bonus. • Competitive equity and benefits. • Visa sponsorship and transfers may be available, including F-1 OPT, H-1B transfers, new H-1B sponsorship, and TN visas. Location and work model This is a full-time role based in San Francisco, California. The team works together in the office five days per week, and candidates must be able to work on-site or relocate before starting.