Teams at Mach9

Build and improve a browser-based 3D rendering engine for massive LiDAR datasets and CAD tools. Responsibilities include extending point-cloud rendering and GPU picking, solving geometry problems involving clipping and snapping, optimizing performance for large datasets, and improving shared rendering and interaction systems. The role requires strong 3D math, spatial reasoning, software development ability, and experience with TypeScript and browser graphics or comparable performance-sensitive graphics programming.

Generate outbound and expansion pipeline through personalized calling, email, LinkedIn, and event outreach. Qualify inbound leads, conduct discovery conversations, maintain CRM records, and deliver clean AE handoffs. Develop outbound messaging and playbooks, report on conversion performance, provide market and product feedback, and consistently meet qualified-meeting and pipeline quotas. The role requires communicating Mach9’s geospatial AI software credibly to surveyors, civil engineers, infrastructure owners, and executives.

Develop and tune computer vision and machine learning models for 2D imagery and 3D point clouds. Projects focus on detecting urban and roadway features, including traffic lights, utility poles, curbs, and road markings. The intern will implement geometry-based algorithms, optimize perception models for real-time edge hardware, and apply machine learning to geospatial infrastructure problems while collaborating with experienced engineers.