Infrastructure Engineer

Infrastructure Engineer, Deployments

You'll build and run the infrastructure behind every machine we deploy: the software on the hardware, the pipeline that moves data from the field into model training, and the tools we use to manage all of our deployments.

What you'll do

 - Build and maintain the software that runs on our deployed hardware: logging, telemetry, remote updates, and the services that keep the machine's computer healthy without anyone on site.

 - Own the data pipeline end to end: getting logs off machines with unreliable connectivity, storing and organizing them, running labeling and processing, and feeding training jobs.

 - Build our internal deployment management tools: which machine is running what, where, with which config, and whether it's healthy.

 - Lead deployments on site: install, configure, validate, and hand off, and improve the process so the next one is faster.

 - Set up and maintain the cloud and CI infrastructure that ties all of this together.

What you need

 - Experience building and operating production infrastructure: data pipelines, deployment systems, fleet or device management, or similar.

 - Python and at least one systems language, on Linux. Comfortable both on an embedded box over SSH and in a cloud console.

 - Experience with the usual infrastructure stack: containers, CI/CD, object storage, databases, and monitoring.

 - You've managed data for machine learning before, or are ready to learn how training workflows consume it.

• • Willing to travel to jobsites regularly. Experience with field hardware or heavy equipment is a plus.

Compensation range: $175k - $220k