Job description

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 Every Cyvl drive captures LiDAR, imagery, and GPS data that has to become something a city engineer can trust. As a Data Engineer, you'll build and scale the pipelines and data platform behind our Infrastructure Intelligence Platform, taking raw sensor data through processing, AI inference, and QA to client-ready geospatial deliverables. Your work sets how fast we deliver, what it costs, and how much customers trust the numbers. This role is based in Somerville, MA, or remote from San Francisco, CA. WHAT YOU'LL DO - Design, build, and operate pipelines that move sensor data from ingest to client-ready geospatial outputs. - Build and maintain our data platform so product, AI, and analytics teams can find and use data fast. - Build automated data quality checks and monitoring that catch problems before customers do. - Partner with Data Operations and GIS teams to automate manual workflows and increase throughput. - Improve the cost and performance of processing at scale on AWS. WHAT YOU BRING - 3+ years building production data pipelines or data platforms - Strong Python and SQL - Experience with cloud data infrastructure (AWS preferred) and workflow orchestration (Airflow, Dagster, Prefect, or similar) - Experience making large, messy datasets reliable - Comfort owning systems end to end, from design through on-call NICE TO HAVE - Geospatial data experience (PostGIS, GDAL, GeoParquet, H3 or other spatial indexing) - Sensor data: LiDAR point clouds, imagery, GPS/IMU - Lakehouse formats and engines (Iceberg, Delta, DuckDB, Spark) - Docker, Kubernetes, and Terraform - Supporting ML training and inference pipelines WHY CYVL Hard tech. Real streets. Your name on it. - Hard problems in the real world. You build end-to-end: our own hardware, software and AI, with work that shows up on the street in the real world. - Ownership that compounds. You own outcomes, not tasks. You work directly with customers and across our team, and you'll own more, sooner, than almost anywhere else. - Intense, with heart. We're building a category, so it's not a place to coast. We also take care of each other, have genuine fun together, and believe in what we are doing. WHAT WE ASK - Cross lanes. "Not my job" doesn't exist here. - Own without a playbook. The plan is still being written, often by you. - Try, miss, try again. We make big bets. Some won't land, and we learn fast. - Be in the room. We're on-site in Somerville about 90% of the time. If you're based in San Francisco, this role is remote, and you'll be with the team in Somerville for the moments that matter like onboarding, kick-offs, and milestones. We're a startup building a category. If that sounds like the draw, not the risk, we'd love to talk. BENEFITS - Equity. You'll own a piece of what you're building. - Health, dental, and vision. Cyvl covers most of the premium for you and your family. - 401k with a real match, vested day one. Your money is yours from the start. - Generous PTO & Paid Parental leave. Doing hard work well includes stepping away from it. - Learning stipend. Spend it on whatever makes you sharper. - Paid to live close. A monthly bonus for living near our Boston office. - Team events. Time together in Boston with a team you’ll love working with. OUR VALUES - Real: Authentic and transparent. Focused on solving real problems with simple, effective solutions. - All Out: Bold, driven, and committed to delivering results that matter. - Accelerating: Always learning, growing, and moving with intention. - Reliable: We follow through and deliver at a consistently high bar. - Empowering: We lift each other up and help governments build infrastructure they can be proud of. SEE OUR WORK - How Atlanta cut downtown potholes by 60% cyvl.com - How Buffalo turned a campaign promise into a paving plan cyvl.com - How to rebuild US infrastructure smarter theengineer.co.uk 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.

Requirements

Must-haves

Design, build, and operate pipelines that move sensor data from ingest to client-ready geospatial outputs.
Build and maintain our data platform so product, AI, and analytics teams can find and use data fast.
Build automated data quality checks and monitoring that catch problems before customers do.
Partner with Data Operations and GIS teams to automate manual workflows and increase throughput.
Improve the cost and performance of processing at scale on AWS.
3+ years building production data pipelines or data platforms
Strong Python and SQL
Experience making large, messy datasets reliable
Comfort owning systems end to end, from design through on-call
Hard tech. Real streets. Your name on it.
Hard problems in the real world. You build end-to-end: our own hardware, software and AI, with work that shows up on the street in the real world.
Ownership that compounds. You own outcomes, not tasks. You work directly with customers and across our team, and you'll own more, sooner, than almost anywhere else.
Intense, with heart. We're building a category, so it's not a place to coast. We also take care of each other, have genuine fun together, and believe in what we are doing.
Cross lanes. "Not my job" doesn't exist here.
Own without a playbook. The plan is still being written, often by you.
Try, miss, try again. We make big bets. Some won't land, and we learn fast.
We're a startup building a category. If that sounds like the draw, not the risk, we'd love to talk.

Nice-to-haves

Experience with cloud data infrastructure (AWS preferred) and workflow orchestration (Airflow, Dagster, Prefect, or similar)
Geospatial data experience (PostGIS, GDAL, GeoParquet, H3 or other spatial indexing)
Sensor data: LiDAR point clouds, imagery, GPS/IMU
Lakehouse formats and engines (Iceberg, Delta, DuckDB, Spark)
Docker, Kubernetes, and Terraform
Supporting ML training and inference pipelines

Application prep

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Keywords to mirror

aiawspythonsqldockerkubernetesml

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Pto

Parental Leave