Startups

Software Engineer, Models

Meter · San Francisco · Remote

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About Meter

Meter is building the vertically integrated network company: hardware, software, services, ISP, data, and autonomous networks from the local network to the data center. Backed by General Catalyst and Sequoia.

About the role

Your job is to build the system that captures that signal so that our models can learn to think like network engineers. If you get this right, Meter can manage thousands of customers’ networks autonomously, without adding a single engineer.

What they're looking for

  • You’ve built backend systems end-to-end and made real architectural decisions with real consequences. You have opinions about data storage that come from having made the wrong decisions
  • You have deep customer empathy. You’ll spend your first weeks learning how network engineers think and work. This knowledge will shape your future decisions
  • You care about people using the tools you built for them. Network engineer tool adoption and satisfaction leads to critical training data, model improvement, and eventually autonomous networks
More about this role

Network engineers carry the most valuable signal in the world in their heads, and it disappears the moment they close a ticket.

Your job is to build the system that captures that signal so that our models can learn to think like network engineers.

If you get this right, Meter can manage thousands of customers’ networks autonomously, without adding a single engineer.

LLMs are good at code because of their access to Git. Commit messages explain why a change was made, PR threads capture expert disagreement, issue trackers record dead ends and eventual fixes. Models trained on that corpus of data don’t just pattern-match, they’ve seen millions of examples of human reasoning through problems.

Network engineering has none of this. When a network engineer looks at a set of device stats and figures out it’s upstream packet loss — not a hardware failure, not a misconfiguration, specifically upstream packet loss — that reasoning lives in their head. Never in a place a model can learn from.

You will build the Git and Github for network engineering. A structured, queryable record of what the network looked like, what the expert notice, and why they made the call they made.

First 30 days

Sit...

Read the full posting on Meter's site ↗

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