About Mach9

Mach9 is pioneering the next era of the surveying and geospatial industry. Our AI-driven platform opens up a world of possibilities for the millions of surveyors and civil engineers responsible for supporting the $3 trillion infrastructure industry. With our market-defining technology, engineers can leverage geospatial data to complete projects faster than ever before.

Our first product, Mach9 Digital Surveyor is transforming the highly-manual surveying workflows by automatically extracting features (such as signs, curbs, and utility poles, etc.) from large-scale imagery and 3D datasets—delivering results up to 96 times faster than today’s labor-intensive process. By dramatically scaling what surveyors can achieve, Mach9 empowers the industry to accelerate infrastructure development, improve decision-making, and fundamentally reshape the way we build and maintain our world.

Mach9 is backed by Quiet Capital, Y Combinator, Overmatch Ventures, Kyle Vogt (founder of Cruise), Amar Hanspal (former CEO of Autodesk), Scott Belsky (CPO of Adobe), Gokul Rajaram (former executive at DoorDash), and more.

We are seeking a Software Engineer to join our team and play a pivotal role in transforming large-scale geospatial datasets into structured and accessible formats. In this role, you will work with high-volume data sources, including laser scan point clouds, imagery, and other geospatial data formats, to ensure they are processed, stored, and made available for internal use in a consistent and efficient manner.

Responsibilities

• Convert third-party geospatial datasets into a standardized internal format.
• Develop and implement scalable workflows for processing large volumes of data.
• Create CI/CD pipelines to ensure consistency and correctness of data pipelines.
• Optimize the processing performance and query and storage efficiency of data pipelines.
• Work closely with customers and data provider partners to facilitate data integration (with occasional travel).
• Triage dataset processing errors, identify fixes and/or report issues to the customer success team.
• Be willing to puzzle hunt: be ready to work with data formats with little documentation.
  
  

Requirements

• Strong software development, problem solving and debugging skills with experience in Python and C++.
• Knowledge of distributed systems and parallel computing.
• Bachelor’s degree in Computer Science, Engineering or equivalent experience
• Strong communication and collaboration skills.
• Experience working with point cloud and imagery data pipelines.
  
  

Preferred Qualifications

• Expertise in designing and managing data schemas and database systems for geospatial data (e.g., Postgres/PostGIS, AWS S3).
• Experience with large-scale data processing frameworks and cloud platforms (e.g. Spark).
• Understanding of geospatial data formats (e.g., LAS/COPC, GeoTIFF, Shapefiles) and tools (e.g., GDAL, PDAL).