Mach9

Build the browser-based 3D rendering engine and CAD tools that transform massive LiDAR datasets into precise engineering deliverables. This early-career role focuses on 3D math, GPU rendering, geometry, and performance for real-world point-cloud data.

Mach9 is hiring a Fall 2026 Perception Intern to develop machine learning and computer vision models for detecting urban and roadway features in 2D imagery and 3D point clouds. The role offers hands-on work spanning geospatial data, real-time edge systems, and perception algorithms.

Build the ML infrastructure powering production AI models for civil engineering and surveying, from large-scale training data pipelines to real-time inference services. You’ll work across data lineage, model serving, deployment, and tooling for ML engineers.

Build and ship 3D perception features for Mach9’s AI-enabled CAD system, turning LiDAR point clouds and imagery into useful survey data. This product-focused role spans data strategy, model training, evaluation, and production integration while working closely with customers.

Own the automated testing strategy for Mach9’s browser-based 3D CAD platform, ensuring regressions are caught quickly and reliably before reaching customers. You’ll build test infrastructure, improve application testability, and help coding agents diagnose failures.

Build and ship computer vision and 3D machine learning models that turn LiDAR and imagery into CAD-grade geometry for surveyors and engineers. This end-to-end role combines ML research, experimentation, production deployment, and close collaboration with infrastructure and product teams.