4 matches
Software Development Engineer I
2 months agoEsri🇺🇸St. Louis, MO
On-siteFull-timeArcGIS - ArcGIS Enterprise
Data operations intern running customer geospatial data deliveries through Python pipelines, validating outputs, and publishing layers to the Cyvl platform. The work includes investigating failed AWS processing jobs, building automated QC checks, and converting manual steps into scripts. The role requires full-time availability for 10-12 weeks in Summer 2027 in Somerville.
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.
WHY CYVL
Hard tech. Real streets. Your name on it.
We're a startup building a category. If that sounds like the draw, not the risk, we'd love to talk.
If you're excited about this role and want to tell us more, email [email protected] with the subject line "Data Ops Intern, [Your Name]" and answer any or all of these:
A few honest paragraphs beat an AI-slop essay. Links to code, notebooks, or demos are welcome.
We build for every community, so we hire from all of them. The best people for this work come from different backgrounds, paths, and places, and many of them don't check every box. If this role excites you, apply anyway. If you need an adjustment to our interview process, tell us and we'll make it work.
