ABOUT CYVL

The best infrastructure is invisible. You only notice it when it fails. For decades, the people responsible for our roads, bridges and sidewalks have been asked to manage the physical world with tools that can't see it.

Cyvl is the Physical AI company changing that. We build purpose-built sensors, computer vision and AI that turn every drive into current data: what exists, where it is and what condition it's in. 500+ cities and towns use our Infrastructure Intelligence Platform to direct the work and fix problems before they fail. 1 in 30 Americans drive on roads managed with Cyvl data.

The proof isn't a dashboard. It's a smoother commute, a safer walk to school and public dollars going where they matter most. We're a fast-moving team in Boston building hardware, software and AI for the real world. If you believe technology's highest calling is public good, come build with us.

THE ROLE

You'll join the Data Operations team, the group that turns raw street-level capture into the map layers 500+ cities rely on. Every day, sensor data from the field flows through our processing pipelines and comes out as road conditions, sidewalk inventories, sign catalogs, and pavement scores. You'll own pieces of that pipeline: running deliveries end to end, catching data problems before a customer does, and writing the scripts that make the next delivery faster than the last.

WHAT YOU'LL DO

• Process customer deliveries end to end: run geospatial data through our Python pipelines, validate the output, and publish the final layers to the Cyvl platform.

• Build QC checks that review data automatically.

• Investigate failed and stalled processing jobs in our AWS pipelines, find the root cause, and document the fix.

• Automate recurring manual steps into repeatable scripts and runbooks, and measure the time saved.

• Partner with engineering and customer success to turn field-reported issues into code fixes or process improvements.

WHAT YOU BRING

• Currently pursuing a degree in Computer Science, Data Science, or a related field

• Proficiency in Python; comfortable writing scripts that read, transform, and validate data

• Comfort working in a terminal and with version control

• Available full-time for 10-12 weeks in Summer 2027, based in our Somerville office

NICE TO HAVE

• GIS experience (QGIS or ArcGIS, and formats like GeoJSON, shapefiles, GeoPackage)

• Familiarity with cloud infrastructure, especially AWS